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| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#tutorials-and-courses |
| Supervised learning superstitions cheat sheet | http://ryancompton.net/assets/ml_cheat_sheet/supervised_learning.html |
| Introduction to Deep Learning with Python | https://www.youtube.com/watch?v=S75EdAcXHKk |
| How to implement a neural network | http://peterroelants.github.io/posts/neural_network_implementation_part01 |
| https://beta.oreilly.com/learning/how-to-build-and-run-your-first-deep-learning-network | https://beta.oreilly.com/learning/how-to-build-and-run-your-first-deep-learning-network |
| Neural Nets for Newbies by Melanie Warrick | https://www.youtube.com/watch?v=Cu6A96TUy_o |
| Data Science 101: Interactive Analysis with Jupyter, Pandas and Treasure Data | http://blog.treasuredata.com/blog/2015/06/23/data-science-101-interactive-analysis-with-jupyter-pandas-and-treasure-data |
| Deep Learning Lecture - University of Oxford | http://www.computervisiontalks.com/tag/deep-learning-course/ |
| Deep Learning Tutorial | http://videolectures.net/kdd2014_salakhutdinov_deep_learning |
| Python Programming for the Humanities | http://fbkarsdorp.github.io/python-course/ |
| Oxford: Machine Learning Course | https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning |
| Bayesian and Modern Statistics | https://github.com/jwmi/Bayesian-Statistics |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#pyplot |
| Pyplot tutorial | http://matplotlib.org/users/pyplot_tutorial.html |
| Plotly for IPython Notebooks | https://dato.com/learn/gallery/notebooks/food_retrieval-public.html |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#material-databases |
| Materials for Learning Machine Learning | http://www.jacksimpson.co/2015/06/07/materials-for-learning-machine-learning |
| On Deep Learning A Tweeted Bibliography | https://medium.com/deep-learning-101/on-deep-learning-a-tweeted-bibliography-68ab095376e7 |
| Continually updated Data Science Python Notebooks | https://github.com/donnemartin/data-science-ipython-notebooks |
| http://people.duke.edu/~ccc14/sta-663/index.html | http://people.duke.edu/~ccc14/sta-663/index.html |
| Stanford Reports for 2015 | http://cs224d.stanford.edu/reports.html |
| Data Science Specialization | http://datasciencespecialization.github.io |
| Unsupervised Feature Learning and Deep Learning | http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ufldl |
| Awesome Deep Vistion | https://github.com/szwed/awesome-deep-vision |
| nut | https://github.com/pprett/nut |
| SuperLearner | https://github.com/ecpolley/SuperLearner |
| subsemble | http://cran.r-project.org/web/packages/subsemble/index.html |
| Bolt | https://github.com/pprett/bolt |
| Shogun | https://github.com/shogun-toolbox/shogun |
| Boruta | http://cran.r-project.org/web/packages/Boruta/index.html |
| 8 Best Machine Learning Cheat Sheets | http://designimag.com/best-machine-learning-cheat-sheets |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#theory-and-use-cases |
| astroML | http://www.astroml.org/ |
| Machine Learning and Law - Harry Surden | http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2417415 |
| eBrevia Applies Machine Learning To Contract Review | http://www.forbes.com/sites/benkepes/2015/02/20/ebrevia-applies-machine-learning-to-contract-review/ |
| Professor Harry Surden Discusses Machine Learning within Law | https://www.youtube.com/watch?v=sOLXOsiX0Qk |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#fraud-detection |
| Detecting Fraudulent Personalities in Networks of Online Auctioneers | http://www.cs.cmu.edu/~dchau/papers/auction_fraud_pkdd06.pdf |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#chat |
| A Neural Conversational Model | http://arxiv.org/pdf/1506.05869v1.pdf |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#business-and-money |
| Estimating a Real Business Cycle DSGE Model by Maximum Likelihood in Python | http://nbviewer.ipython.org/gist/ChadFulton/fbce8efd41fcf271b316 |
| http://www.quantatrisk.com/2015/06/14/predicting-heavy-extreme-losses-portfolio-1 | http://www.quantatrisk.com/2015/06/14/predicting-heavy-extreme-losses-portfolio-1 |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#bullying |
| Understanding and fighting bullying with machine learning | http://research.cs.wisc.edu/bullying |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#gaming |
| Artificial intelligence learns Mario level in just 34 attempts | http://www.engadget.com/2015/06/17/super-mario-world-self-learning-ai |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#recommendations |
| Collaborative filtering recommendation engine implementation in python | http://dataaspirant.com/2015/05/25/collaborative-filtering-recommendation-engine-implementation-in-python |
| NLP in python -- predicting HN upvotes from headlines | http://blog.dataquest.io/blog/predicting-upvotes |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#text-analysis |
| Adam Palay - "Words, words, words": Reading Shakespeare with Python - PyCon 2015 | https://www.youtube.com/watch?v=EoWG0lavg9U |
| High-quality XML versions of the complete works of Shakespeare | https://github.com/severdia/PlayShakespeare.com-XML |
| The Unreasonable Effectiveness of Recurrent Neural Networks | http://karpathy.github.io/2015/05/21/rnn-effectiveness/ |
| Document Clustering with Python | http://nbviewer.ipython.org/github/brandomr/document_cluster/blob/master/cluster_analysis_web.ipynb |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#natural-language-processing |
| BLLIP Parser | http://github.com/BLLIP/bllip-parser |
| TextBlob | http://textblob.readthedocs.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#sport |
| Prediction and Quantification of Individual Athletic Performance | http://arxiv.org/pdf/1505.01147v2.pdf |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#image-recognition |
| Generative Image Modeling Using Spatial LSTMs | http://arxiv.org/pdf/1506.03478v1.pdf |
| Suddenly, a leopard print sofa appears | http://rocknrollnerd.github.io/ml/2015/05/27/leopard-sofa.html |
| What’s in This Picture? AI Becomes as Smart as a Toddler | http://www.bloomberg.com/news/articles/2015-05-22/what-s-in-this-picture-ai-becomes-as-smart-as-a-toddler |
| Bringing Deep Learning to the Grocery Store | https://dato.com/learn/gallery/notebooks/food_retrieval-public.html |
| http://www.talkpythontome.com/episodes/show/11/pyimagesearch-and-computer-vision | http://www.talkpythontome.com/episodes/show/11/pyimagesearch-and-computer-vision |
| spaCy | https://github.com/honnibal/spaCy/ |
| PyStanfordDependencies | https://github.com/dmcc/PyStanfordDependencies |
| wiki challenge | https://github.com/hammer/wikichallenge |
| kaggle insults | https://github.com/amueller/kaggle_insults |
| kaggle_acquire-valued-shoppers-challenge | https://github.com/MLWave/kaggle_acquire-valued-shoppers-challenge |
| kaggle-cifar | https://github.com/zygmuntz/kaggle-cifar |
| kaggle-blackbox | https://github.com/zygmuntz/kaggle-blackbox |
| kaggle-accelerometer | https://github.com/zygmuntz/kaggle-accelerometer |
| kaggle-advertised-salaries | https://github.com/zygmuntz/kaggle-advertised-salaries |
| kaggle amazon | https://github.com/zygmuntz/kaggle-amazon |
| kaggle-bestbuy_big | https://github.com/zygmuntz/kaggle-bestbuy_big |
| kaggle-bestbuy_small | https://github.com/zygmuntz/kaggle-bestbuy_small |
| Kaggle Dogs vs. Cats | https://github.com/kastnerkyle/kaggle-dogs-vs-cats |
| Kaggle Galaxy Challenge | https://github.com/benanne/kaggle-galaxies |
| Kaggle Gender | https://github.com/zygmuntz/kaggle-gender |
| Kaggle Merck | https://github.com/zygmuntz/kaggle-merck |
| Kaggle Stackoverflow | https://github.com/zygmuntz/kaggle-stackoverflow |
| kaggle_acquire-valued-shoppers-challenge | https://github.com/MLWave/kaggle_acquire-valued-shoppers-challenge |
| wine-quality | https://github.com/zygmuntz/wine-quality |
| gensim | https://github.com/piskvorky/gensim |
| Restricted Boltzmann Machines | https://github.com/echen/restricted-boltzmann-machines |
| CoverTree | https://github.com/patvarilly/CoverTree |
| nilearn | https://github.com/nilearn/nilearn |
| SKLL | https://github.com/EducationalTestingService/skll |
| neurolab | https://code.google.com/p/neurolab/ |
| https://code.google.com/p/neurolab/ | https://code.google.com/p/neurolab/ |
| Pebl | https://github.com/abhik/pebl/ |
| yahmm | https://github.com/jmschrei/yahmm/ |
| pydeep | https://github.com/andersbll/deeppy |
| pycascading | https://github.com/twitter/pycascading |
| SparklingPandas | https://github.com/sparklingpandas/sparklingpandas |
| ahaz | http://cran.r-project.org/web/packages/ahaz/index.html |
| arules | http://cran.r-project.org/web/packages/arules/index.html |
| bigrf | http://cran.r-project.org/web/packages/bigrf/index.html |
| bst | http://cran.r-project.org/web/packages/bst/index.html |
| C50 | http://cran.r-project.org/web/packages/C50/index.html |
| Clever Algorithms For Machine Learning | https://github.com/jbrownlee/CleverAlgorithmsMachineLearning |
| CORElearn | http://cran.r-project.org/web/packages/CORElearn/index.html |
| CoxBoost | http://cran.r-project.org/web/packages/CoxBoost/index.html |
| Cubist | http://cran.r-project.org/web/packages/Cubist/index.html |
| e1071 | http://cran.r-project.org/web/packages/e1071/index.html |
| earth | http://cran.r-project.org/web/packages/earth/index.html |
| elasticnet | http://cran.r-project.org/web/packages/elasticnet/index.html |
| ElemStatLearn | http://cran.r-project.org/web/packages/ElemStatLearn/index.html |
| evtree | http://cran.r-project.org/web/packages/evtree/index.html |
| fpc | http://cran.r-project.org/web/packages/fpc/index.html |
| frbs | http://cran.r-project.org/web/packages/frbs/index.html |
| GAMBoost | http://cran.r-project.org/web/packages/GAMBoost/index.html |
| gamboostLSS | http://cran.r-project.org/web/packages/gamboostLSS/index.html |
| gbm | http://cran.r-project.org/web/packages/gbm/index.html |
| glmnet | http://cran.r-project.org/web/packages/glmnet/index.html |
| glmpath | http://cran.r-project.org/web/packages/glmpath/index.html |
| GMMBoost | http://cran.r-project.org/web/packages/GMMBoost/index.html |
| grplasso | http://cran.r-project.org/web/packages/grplasso/index.html |
| grpreg | http://cran.r-project.org/web/packages/grpreg/index.html |
| hda | http://cran.r-project.org/web/packages/hda/index.html |
| Introduction to Statistical Learning | http://www-bcf.usc.edu/~gareth/ISL/ |
| ipred | http://cran.r-project.org/web/packages/ipred/index.html |
| kernlab | http://cran.r-project.org/web/packages/kernlab/index.html |
| klaR | http://cran.r-project.org/web/packages/klaR/index.html |
| lars | http://cran.r-project.org/web/packages/lars/index.html |
| lasso2 | http://cran.r-project.org/web/packages/lasso2/index.html |
| LogicReg | http://cran.r-project.org/web/packages/LogicReg/index.html |
| Machine Learning For Hackers | https://github.com/johnmyleswhite/ML_for_Hackers |
| maptree | http://cran.r-project.org/web/packages/maptree/index.html |
| mboost | http://cran.r-project.org/web/packages/mboost/index.html |
| medley | https://www.kaggle.com/forums/f/15/kaggle-forum/t/3661/medley-a-new-r-package-for-blending-regression-models/21278 |
| mvpart | http://cran.r-project.org/web/packages/mvpart/index.html |
| ncvreg | http://cran.r-project.org/web/packages/ncvreg/index.html |
| nnet | http://cran.r-project.org/web/packages/nnet/index.html |
| oblique.tree | http://cran.r-project.org/web/packages/oblique.tree/index.html |
| pamr | http://cran.r-project.org/web/packages/pamr/index.html |
| party | http://cran.r-project.org/web/packages/party/index.html |
| partykit | http://cran.r-project.org/web/packages/partykit/index.html |
| penalized | http://cran.r-project.org/web/packages/penalized/index.html |
| penalizedLDA | http://cran.r-project.org/web/packages/penalizedLDA/index.html |
| penalizedSVM | http://cran.r-project.org/web/packages/penalizedSVM/index.html |
| quantregForest | http://cran.r-project.org/web/packages/quantregForest/index.html |
| randomForest | http://cran.r-project.org/web/packages/randomForest/index.html |
| randomForestSRC | http://cran.r-project.org/web/packages/randomForestSRC/index.html |
| rattle | http://cran.r-project.org/web/packages/rattle/index.html |
| rda | http://cran.r-project.org/web/packages/rda/index.html |
| rdetools | http://cran.r-project.org/web/packages/rdetools/index.html |
| REEMtree | http://cran.r-project.org/web/packages/REEMtree/index.html |
| relaxo | http://cran.r-project.org/web/packages/relaxo/index.html |
| rgenoud | http://cran.r-project.org/web/packages/rgenoud/index.html |
| Rmalschains | http://cran.r-project.org/web/packages/Rmalschains/index.html |
| rminer | http://cran.r-project.org/web/packages/rminer/index.html |
| ROCR | http://cran.r-project.org/web/packages/ROCR/index.html |
| RoughSets | http://cran.r-project.org/web/packages/RoughSets/index.html |
| rpart | http://cran.r-project.org/web/packages/rpart/index.html |
| RPMM | http://cran.r-project.org/web/packages/RPMM/index.html |
| RSNNS | http://cran.r-project.org/web/packages/RSNNS/index.html |
| RWeka | http://cran.r-project.org/web/packages/RWeka/index.html |
| RXshrink | http://cran.r-project.org/web/packages/RXshrink/index.html |
| sda | http://cran.r-project.org/web/packages/sda/index.html |
| SDDA | http://cran.r-project.org/web/packages/SDDA/index.html |
| svmpath | http://cran.r-project.org/web/packages/svmpath/index.html |
| tgp | http://cran.r-project.org/web/packages/tgp/index.html |
| tree | http://cran.r-project.org/web/packages/tree/index.html |
| varSelRF | http://cran.r-project.org/web/packages/varSelRF/index.html |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#video-streaming |
| Target acquired: Finding targets in drone and quadcopter video streams using Python and OpenCV | http://www.pyimagesearch.com/2015/05/04/target-acquired-finding-targets-in-drone-and-quadcopter-video-streams-using-python-and-opencv |
| Visualization of taxi trip end points | https://www.kaggle.com/hochthom/pkdd-15-predict-taxi-service-trajectory-i/visualization-of-taxi-trip-end-points |
| Basic motion detection and tracking with Python and OpenCV | http://www.pyimagesearch.com/2015/05/25/basic-motion-detection-and-tracking-with-python-and-opencv |
| Home surveillance and motion detection with the Raspberry Pi, Python, OpenCV, and Dropbox | http://www.pyimagesearch.com/2015/06/01/home-surveillance-and-motion-detection-with-the-raspberry-pi-python-and-opencv |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#time |
| Making Space Time Predictions using Python and Spark | https://www.youtube.com/watch?v=0YTIOn7_h_k |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#audio |
| Classifying and Visualizing Musical Pitch with K-means Clustering | http://www.galvanize.com/blog/2015/05/28/classifying-and-visualizing-musical-pitch-with-k-means-clustering |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#python--machine-learning |
| Python-Powered Machine Learning in the Cloud | http://www.pyvideo.org/video/3556/python-powered-machine-learning-in-the-cloud |
| Introduction to Neural Machine Translation with GPUs | http://devblogs.nvidia.com/parallelforall/introduction-neural-machine-translation-with-gpus |
| On the accuracy of self-normalized log-linear models | http://arxiv.org/pdf/1506.04147v1.pdf |
| Bayesian Dark Knowledge | http://arxiv.org/pdf/1506.04416v1.pdf |
| Humans Need Not Apply | https://www.youtube.com/watch?t=490&v=7Pq-S557XQU |
| https://www.youtube.com/watch?v=QGxH35SKInM | https://www.youtube.com/watch?v=QGxH35SKInM |
| Machines that think for themselves | http://www.work.caltech.edu/paper/sciam2012.pdf |
| How Artificial Intelligence Will Make Technology Disappear | https://medium.com/using-artificial-intelligence-to-make-technology/how-artificial-intelligence-will-make-technology-disappear-503cd88e1e6a |
| Deep Learning Machine Beats Humans in IQ Test | http://www.technologyreview.com/view/538431/deep-learning-machine-beats-humans-in-iq-test/ |
| BioPy | https://github.com/jaredmichaelsmith/BioPy |
| pattern_classification | https://github.com/rasbt/pattern_classification |
| thinking stats 2 | https://github.com/Wavelets/ThinkStats2 |
| hyperopt | https://github.com/hyperopt/hyperopt-sklearn |
| numpic | https://github.com/numenta/nupic |
| 2012-paper-diginorm | https://github.com/ged-lab/2012-paper-diginorm |
| A gallery of interesting IPython notebooks | https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks |
| ipython-notebooks | https://github.com/ogrisel/notebooks |
| decision-weights | https://github.com/CamDavidsonPilon/decision-weights |
| Sarah Palin LDA | https://github.com/Wavelets/sarah-palin-lda |
| Diffusion Segmentation | https://github.com/Wavelets/diffusion-segmentation |
| Scipy Tutorials | https://github.com/Wavelets/scipy-tutorials |
| Crab | https://github.com/marcelcaraciolo/crab |
| BayesPy | https://github.com/maxsklar/BayesPy |
| scikit-learn tutorials | https://github.com/GaelVaroquaux/scikit-learn-tutorial |
| sentiment-analyzer | https://github.com/madhusudancs/sentiment-analyzer |
| sentiment_classifier | https://github.com/kevincobain2000/sentiment_classifier |
| group-lasso | https://github.com/fabianp/group_lasso |
| jProcessing | https://github.com/kevincobain2000/jProcessing |
| mne-python-notebooks | https://github.com/mne-tools/mne-python-notebooks |
| pandas cookbook | https://github.com/jvns/pandas-cookbook |
| Bayesian Methods for Hackers | https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#deep-learning-frameworks |
| deap | https://github.com/deap/deap |
| NErvana's pythON based Deep Learning Framework | https://github.com/NervanaSystems/neon |
| Pyevolve | https://github.com/perone/Pyevolve |
| Caffe | http://caffe.berkeleyvision.org |
| DLib | http://dlib.net/ml.html |
| encog-cpp | https://code.google.com/p/encog-cpp/ |
| shark | http://image.diku.dk/shark/sphinx_pages/build/html/index.html |
| Vowpal Wabbit (VW) | https://github.com/JohnLangford/vowpal_wabbit/wiki |
| sofia-ml | https://code.google.com/p/sofia-ml/ |
| Shogun | https://github.com/shogun-toolbox/shogun |
| Caffe | http://caffe.berkeleyvision.org |
| CXXNET | https://github.com/antinucleon/cxxnet |
| XGBoost | https://github.com/tqchen/xgboost |
| Stan | http://mc-stan.org/ |
| BanditLib | https://github.com/jkomiyama/banditlib |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#libraries |
| https://pypi.python.org/pypi/featureforge/0.1.6 | https://pypi.python.org/pypi/featureforge/0.1.6 |
| deepy: Highly extensible deep learning framework based on Theano | https://github.com/uaca/deepy |
| Featureforge | https://github.com/machinalis/featureforge |
| scikit-learn | http://scikit-learn.org/ |
| SimpleAI | http://github.com/simpleai-team/simpleai |
| graphlab-create | http://graphlab.com/products/create/docs/ |
| BigML | https://bigml.com |
| pattern | https://github.com/clips/pattern |
| NuPIC | https://github.com/numenta/nupic |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#environment-management |
| p | https://github.com/qw3rtman/p |
| pyenv | https://github.com/yyuu/pyenv |
| virtualenv | https://pypi.python.org/pypi/virtualenv |
| virtualenvwrapper | https://pypi.python.org/pypi/virtualenvwrapper |
| virtualenv-api | https://github.com/sjkingo/virtualenv-api |
| pew | https://pypi.python.org/pypi/pew/ |
| Vex | https://github.com/sashahart/vex |
| PyRun | https://www.egenix.com/products/python/PyRun/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#package-management |
| pip | https://pip.pypa.io/ |
| Python Package Index | https://pypi.python.org/pypi |
| conda | https://github.com/conda/conda/ |
| Curdling | http://clarete.li/curdling/ |
| wheel | http://pythonwheels.com/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#package-repositories |
| warehouse | https://github.com/pypa/warehouse |
| Warehouse | https://warehouse.python.org/ |
| devpi | http://doc.devpi.net/ |
| localshop | https://github.com/mvantellingen/localshop |
| bandersnatch | https://bitbucket.org/pypa/bandersnatch |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#distribution |
| cx-Freeze | http://cx-freeze.readthedocs.org/ |
| py2exe | http://www.py2exe.org/ |
| pynsist | http://pynsist.readthedocs.org/ |
| py2app | http://pythonhosted.org/py2app/ |
| PyInstaller | http://www.pyinstaller.org/ |
| dh-virtualenv | http://dh-virtualenv.readthedocs.org/ |
| Nuitka | http://nuitka.net/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#build-tools |
| buildout | http://www.buildout.org/ |
| SCons | http://www.scons.org/ |
| PlatformIO | https://github.com/ivankravets/platformio |
| BitBake | http://www.yoctoproject.org/docs/1.6/bitbake-user-manual/bitbake-user-manual.html |
| fabricate | https://code.google.com/p/fabricate/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#interactive-interpreter |
| IPython | https://github.com/ipython/ipython |
| bpython | http://bpython-interpreter.org |
| ptpython | https://github.com/jonathanslenders/ptpython |
| python-prompt-toolkit | https://github.com/jonathanslenders/python-prompt-toolkit |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#files |
| mimetypes | https://docs.python.org/2/library/mimetypes.html |
| imghdr | https://docs.python.org/2/library/imghdr.html |
| python-magic | https://github.com/ahupp/python-magic |
| path.py | https://github.com/jaraco/path.py |
| os.path | https://docs.python.org/2/library/os.path.html |
| watchdog | https://github.com/gorakhargosh/watchdog |
| Unipath | https://github.com/mikeorr/Unipath |
| pathlib | https://pathlib.readthedocs.org/en/pep428/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#date-and-time |
| arrow | https://github.com/crsmithdev/arrow |
| Chronyk | https://github.com/KoffeinFlummi/Chronyk |
| dateutil | https://pypi.python.org/pypi/python-dateutil |
| datetime | https://docs.python.org/2/library/datetime.html |
| delorean | https://github.com/myusuf3/delorean/ |
| when.py | https://github.com/dirn/When.py |
| moment | https://github.com/zachwill/moment |
| Moment.js | http://momentjs.com/ |
| pytz | https://launchpad.net/pytz |
| tz database | http://en.wikipedia.org/wiki/Tz_database |
| PyTime | https://github.com/shnode/PyTime |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#text-processing |
| XGBoost | https://github.com/tqchen/xgboost |
| difflib | https://docs.python.org/2/library/difflib.html |
| Levenshtein | https://github.com/ztane/python-Levenshtein/ |
| fuzzywuzzy | https://github.com/seatgeek/fuzzywuzzy |
| esmre | https://code.google.com/p/esmre/ |
| shortuuid | https://github.com/stochastic-technologies/shortuuid |
| ftfy | https://github.com/LuminosoInsight/python-ftfy |
| unidecode | https://pypi.python.org/pypi/Unidecode |
| chardet | https://github.com/chardet/chardet |
| xpinyin | https://github.com/lxneng/xpinyin |
| pangu.py | https://github.com/vinta/pangu.py |
| pyfiglet | https://github.com/pwaller/pyfiglet |
| uniout | https://github.com/moskytw/uniout |
| awesome-slugify | https://github.com/dimka665/awesome-slugify |
| python-slugify | https://github.com/un33k/python-slugify |
| PLY | http://www.dabeaz.com/ply/ |
| phonenumbers | https://github.com/daviddrysdale/python-phonenumbers |
| python-user-agents | https://github.com/selwin/python-user-agents |
| sqlparse | https://sqlparse.readthedocs.org/ |
| Pygments | http://pygments.org/ |
| python-nameparser | https://github.com/derek73/python-nameparser |
| pyparsing | http://pyparsing.wikispaces.com/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#specific-formats-processing |
| tablib | https://github.com/kennethreitz/tablib |
| python-docx | https://github.com/python-openxml/python-docx |
| xlwt | https://github.com/python-excel/xlwt |
| xlrd | https://github.com/python-excel/xlrd |
| XlsxWriter | https://xlsxwriter.readthedocs.org/ |
| xlwings | http://xlwings.org/ |
| openpyxl | https://openpyxl.readthedocs.org/en/latest/ |
| Marmir | https://github.com/brianray/mm |
| unoconv | https://github.com/dagwieers/unoconv |
| PDFMiner | https://github.com/euske/pdfminer |
| PyPDF2 | https://github.com/mstamy2/PyPDF2 |
| ReportLab | http://www.reportlab.com/opensource/ |
| Python-Markdown | https://github.com/waylan/Python-Markdown |
| Mistune | https://github.com/lepture/mistune |
| PyYAML | http://pyyaml.org/ |
| csvkit | https://github.com/onyxfish/csvkit |
| unp | https://github.com/mitsuhiko/unp |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#natural-language-processing-1 |
| CRF++ | http://crfpp.googlecode.com/svn/trunk/doc/index.html |
| frog | https://github.com/proycon/frog |
| NLTK | http://www.nltk.org/ |
| Pattern | http://www.clips.ua.ac.be/pattern |
| Quepy | https://github.com/machinalis/quepy |
| YAlign | https://github.com/machinalis/yalign |
| jieba | https://github.com/fxsjy/jieba#jieba-1 |
| SnowNLP | https://github.com/isnowfy/snownlp |
| loso | https://github.com/victorlin/loso |
| genius | https://github.com/duanhongyi/genius |
| Rosetta | https://github.com/columbia-applied-data-science/rosetta |
| BLLIP Parser | https://pypi.python.org/pypi/bllipparser/ |
| PyNLPl | https://github.com/proycon/pynlpl |
| FoLiA | https://proycon.github.io/folia |
| python-ucto | https://github.com/proycon/python-ucto |
| python-frog | https://github.com/proycon/python-frog |
| colibri-core | https://github.com/proycon/colibri-core |
| NLTK | http://www.nltk.org/ |
| Pattern | http://www.clips.ua.ac.be/pattern |
| TextBlob | http://textblob.readthedocs.org/ |
| jieba | https://github.com/fxsjy/jieba |
| SnowNLP | https://github.com/isnowfy/snownlp |
| loso | https://github.com/victorlin/loso |
| genius | https://github.com/duanhongyi/genius |
| langid.py | https://github.com/saffsd/langid.py |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#documentation |
| Sphinx | http://sphinx-doc.org/ |
| awesome-sphinxdoc | https://github.com/yoloseem/awesome-sphinxdoc |
| reStructuredText | http://docutils.sourceforge.net/rst.html |
| MkDocs | http://www.mkdocs.org/ |
| Pycco | http://fitzgen.github.io/pycco/ |
| pdoc | https://github.com/BurntSushi/pdoc |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#configuration |
| ConfigParser | https://docs.python.org/2/library/configparser.html |
| ConfigObj | http://www.voidspace.org.uk/python/configobj.html |
| config | http://www.red-dove.com/config-doc/ |
| logging | https://docs.python.org/2/library/logging.html |
| profig | http://profig.readthedocs.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#command-line-tools |
| cement | http://builtoncement.com/ |
| click | http://click.pocoo.org/ |
| clint | https://github.com/kennethreitz/clint |
| cliff | http://docs.openstack.org/developer/cliff/ |
| Clime | http://clime.mosky.tw |
| docopt | http://docopt.org/ |
| colorama | https://pypi.python.org/pypi/colorama |
| pyCLI | https://pythonhosted.org/pyCLI/ |
| Gooey | https://github.com/chriskiehl/Gooey |
| python-prompt-toolkit | https://github.com/jonathanslenders/python-prompt-toolkit |
| cookiecutter | https://github.com/audreyr/cookiecutter |
| httpie | https://github.com/jakubroztocil/httpie |
| percol | https://github.com/mooz/percol |
| RainbowStream | http://www.rainbowstream.org/ |
| caniusepython3 | https://github.com/brettcannon/caniusepython3 |
| thefuck | https://github.com/nvbn/thefuck |
| doitlive | https://github.com/sloria/doitlive |
| PathPicker | https://github.com/facebook/PathPicker |
| bashplotlib | https://github.com/glamp/bashplotlib |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#downloader |
| s3cmd | https://github.com/s3tools/s3cmd |
| s4cmd | https://github.com/bloomreach/s4cmd |
| youtube-dl | http://rg3.github.io/youtube-dl/ |
| you-get | http://www.soimort.org/you-get/ |
| coursera | https://github.com/coursera-dl/coursera |
| WikiTeam | https://github.com/WikiTeam/wikiteam |
| subliminal | https://github.com/Diaoul/subliminal |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#imagery |
| pillow | http://pillow.readthedocs.org/ |
| PIL | http://www.pythonware.com/products/pil/ |
| wand | https://github.com/dahlia/wand |
| MagickWand | http://www.imagemagick.org/script/magick-wand.php |
| thumbor | https://github.com/thumbor/thumbor |
| imgSeek | http://www.imgseek.net/ |
| python-qrcode | https://github.com/lincolnloop/python-qrcode |
| pyBarcode | https://pythonhosted.org/pyBarcode/ |
| pygram | https://github.com/ajkumar25/pygram |
| Quads | https://github.com/fogleman/Quads |
| nude.py | https://github.com/hhatto/nude.py |
| scikit-image | http://scikit-image.org/ |
| hmap | https://github.com/rossgoodwin/hmap |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#ocr |
| python-tesseract | https://code.google.com/p/python-tesseract |
| Google Tesseract OCR | https://code.google.com/p/tesseract-ocr/ |
| pytesseract | https://github.com/madmaze/pytesseract |
| pyocr | https://github.com/jflesch/pyocr |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#audio-1 |
| audiolazy | https://github.com/danilobellini/audiolazy |
| audioread | https://github.com/sampsyo/audioread |
| beets | http://beets.radbox.org/ |
| MusicBrainz | https://musicbrainz.org/ |
| dejavu | https://github.com/worldveil/dejavu |
| eyeD3 | http://eyed3.nicfit.net/ |
| id3reader | http://nedbatchelder.com/code/modules/id3reader.py |
| mutagen | https://code.google.com/p/mutagen/ |
| pydub | https://github.com/jiaaro/pydub |
| pyechonest | https://github.com/echonest/pyechonest |
| Echo Nest | http://developer.echonest.com/docs/ |
| talkbox | http://scikits.appspot.com/talkbox |
| TimeSide | https://github.com/yomguy/TimeSide |
| tinytag | https://github.com/devsnd/tinytag |
| m3u8 | https://github.com/globocom/m3u8 |
| ggplot2 | http://ggplot2.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#video |
| moviepy | http://zulko.github.io/moviepy/ |
| shorten.tv | http://www.shorten.tv/ |
| scikit-video | https://github.com/aizvorski/scikit-video |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#geolocation |
| geopy | https://github.com/geopy/geopy |
| pygeoip | https://github.com/appliedsec/pygeoip |
| GeoIP | https://github.com/maxmind/geoip-api-python |
| geojson | https://github.com/frewsxcv/python-geojson |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#http |
| requests | http://docs.python-requests.org/ |
| grequests | https://github.com/kennethreitz/grequests |
| urllib3 | https://github.com/shazow/urllib3 |
| httplib2 | https://github.com/jcgregorio/httplib2 |
| treq | https://github.com/dreid/treq |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#database |
| ZODB | http://www.zodb.org/ |
| pickleDB | https://pythonhosted.org/pickleDB/ |
| TinyDB | https://github.com/msiemens/tinydb |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#database-drivers |
| mysql-python | http://sourceforge.net/projects/mysql-python/ |
| mysqlclient | https://github.com/PyMySQL/mysqlclient-python |
| PyMySQL | https://github.com/PyMySQL/PyMySQL |
| mysql-connector-python | https://pypi.python.org/pypi/mysql-connector-python |
| oursql | https://pythonhosted.org/oursql/ |
| psycopg2 | http://initd.org/psycopg/ |
| txpostgres | http://txpostgres.readthedocs.org/ |
| queries | https://github.com/gmr/queries |
| dataset | https://github.com/pudo/dataset |
| apsw | http://rogerbinns.github.io/apsw/ |
| cassandra-python-driver | https://github.com/datastax/python-driver |
| pycassa | https://github.com/pycassa/pycassa |
| HappyBase | http://happybase.readthedocs.org/ |
| PyMongo | http://docs.mongodb.org/ecosystem/drivers/python/ |
| Plyvel | https://plyvel.readthedocs.org/ |
| redis-py | https://github.com/andymccurdy/redis-py |
| py2neo | http://book.py2neo.org/ |
| telephus | https://github.com/driftx/Telephus |
| txRedis | https://github.com/deldotdr/txRedis |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#orm |
| SQLAlchemy | http://www.sqlalchemy.org/ |
| awesome-sqlalchemy | https://github.com/dahlia/awesome-sqlalchemy |
| peewee | https://github.com/coleifer/peewee |
| PonyORM | http://ponyorm.com |
| MongoEngine | http://mongoengine.org/ |
| django-mongodb-engine | https://github.com/django-nonrel/mongodb-engine |
| redisco | https://github.com/kiddouk/redisco |
| flywheel | https://github.com/mathcamp/flywheel |
| butterdb | https://github.com/Widdershin/butterdb |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#computer-vision |
| SimpleCV | http://simplecv.org/ |
| Vigranumpy | https://github.com/ukoethe/vigra |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#web-frameworks |
| Django | https://www.djangoproject.com/ |
| awesome-django | https://github.com/rosarior/awesome-django |
| Flask | http://flask.pocoo.org/ |
| awesome-flask | https://github.com/humiaozuzu/awesome-flask |
| Bottle | http://bottlepy.org/ |
| Pyramid | http://www.pylonsproject.org/ |
| awesome-pyramid | https://github.com/ITCase/awesome-pyramid |
| web2py | http://www.web2py.com |
| web.py | http://webpy.org/ |
| TurboGears | http://www.turbogears.org/ |
| CherryPy | http://www.cherrypy.org/ |
| Grok | http://grok.zope.org/ |
| Bluebream | http://bluebream.zope.org/ |
| guava | https://github.com/flatpeach/guava |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#permissions |
| django-guardian | https://github.com/lukaszb/django-guardian |
| django-rules | https://github.com/dfunckt/django-rules |
| Carteblanche | http://www.github.com/neuman/python-carteblanche/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#cms |
| django-cms | https://www.django-cms.org/en/ |
| djedi-cms | http://djedi-cms.org/ |
| FeinCMS | http://www.feincms.org/ |
| Kotte | http://kotti.pylonsproject.org/ |
| Mezzanine | http://mezzanine.jupo.org/ |
| Opps | http://oppsproject.org/ |
| Plone | http://plone.org/ |
| Quokka | http://quokkaproject.org/ |
| Wagtail | http://wagtail.io/ |
| Widgy | http://wid.gy/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#e-commerce |
| django-oscar | http://oscarcommerce.com/ |
| django-shop | https://www.django-cms.org/ |
| merchant | https://github.com/agiliq/merchant |
| money | https://github.com/carlospalol/money |
| python-currencies | https://github.com/Alir3z4/python-currencies |
| alipay | https://github.com/lxneng/alipay |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#restful-api |
| cornice | https://cornice.readthedocs.org/ |
| django-rest-framework | http://www.django-rest-framework.org/ |
| django-tastypie | http://tastypieapi.org/ |
| django-formapi | https://github.com/5monkeys/django-formapi |
| flask-api | http://www.flaskapi.org/ |
| flask-restful | http://flask-restful.readthedocs.org/ |
| flask-restless | https://flask-restless.readthedocs.org/en/latest/ |
| flask-api-utils | https://github.com/marselester/flask-api-utils |
| falcon | http://falconframework.org/ |
| eve | https://github.com/nicolaiarocci/eve |
| sandman | https://github.com/jeffknupp/sandman |
| restless | http://restless.readthedocs.org/en/latest/ |
| savory-pie | https://github.com/RueLaLa/savory-pie/ |
| ripozo | https://github.com/vertical-knowledge/ripozo |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#authentication |
| Authomatic | http://peterhudec.github.io/authomatic/ |
| OAuthLib | https://github.com/idan/oauthlib |
| rauth | https://github.com/litl/rauth |
| python-oauth2 | https://github.com/simplegeo/python-oauth2 |
| python-social-auth | https://github.com/omab/python-social-auth |
| django-oauth-toolkit | https://github.com/evonove/django-oauth-toolkit |
| django-oauth2-provider | https://github.com/caffeinehit/django-oauth2-provider |
| django-allauth | https://github.com/pennersr/django-allauth |
| Flask-OAuthlib | https://github.com/lepture/flask-oauthlib |
| sanction | https://github.com/demianbrecht/sanction |
| PyJWT | https://github.com/progrium/pyjwt |
| python-jwt | https://github.com/davedoesdev/python-jwt |
| python-jws | https://github.com/brianloveswords/python-jws |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#template-engine |
| Jinja2 | https://github.com/mitsuhiko/jinja2 |
| Genshi | http://genshi.edgewall.org/ |
| Mako | http://www.makotemplates.org/ |
| Chameleon | https://chameleon.readthedocs.org/ |
| Spitfire | https://code.google.com/p/spitfire/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#queue |
| celery | http://www.celeryproject.org/ |
| huey | https://github.com/coleifer/huey |
| mrq | https://github.com/pricingassistant/mrq |
| rq | http://python-rq.org/ |
| simpleq | https://github.com/rdegges/simpleq |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#search |
| django-haystack | https://github.com/toastdriven/django-haystack |
| elasticsearch-py | http://www.elasticsearch.org/guide/en/elasticsearch/client/python-api/current/ |
| Elasticsearch | https://www.elastic.co/products/elasticsearch |
| elasticsearch-dsl-py | https://github.com/elastic/elasticsearch-dsl-py |
| solrpy | https://code.google.com/p/solrpy/ |
| solr | http://lucene.apache.org/solr/ |
| Whoosh | http://whoosh.readthedocs.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#news-feed |
| Feedly | https://github.com/tschellenbach/Feedly |
| django-activity-stream | https://github.com/justquick/django-activity-stream |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#asset-management |
| jinja-assets-compressor | https://github.com/jaysonsantos/jinja-assets-compressor |
| webassets | http://webassets.readthedocs.org/ |
| fanstatic | http://www.fanstatic.org/ |
| fileconveyor | http://fileconveyor.org/ |
| django-storages | http://code.larlet.fr/django-storages/ |
| glue | http://gluecss.com |
| libsass-python | http://hongminhee.org/libsass-python/ |
| libsass | https://github.com/hcatlin/libsass |
| Flask-Assets | http://flask-assets.readthedocs.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#caching |
| Beaker | http://beaker.readthedocs.org/ |
| dogpile.cache | http://dogpilecache.readthedocs.org/ |
| HermesCache | https://pypi.python.org/pypi/HermesCache |
| django-cache-machine | https://github.com/jbalogh/django-cache-machine |
| django-cacheops | https://github.com/Suor/django-cacheops |
| johnny-cache | https://github.com/jmoiron/johnny-cache |
| django-viewlet | https://github.com/5monkeys/django-viewlet |
| pylibmc | https://github.com/lericson/pylibmc |
| libmemcached | http://libmemcached.org/libMemcached.html |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#email |
| inbox.py | https://github.com/kennethreitz/inbox.py |
| imbox | https://github.com/martinrusev/imbox |
| inbox | https://github.com/inboxapp/inbox |
| lamson | https://github.com/zedshaw/lamson |
| flanker | https://github.com/mailgun/flanker |
| marrow.mailer | https://github.com/marrow/marrow.mailer |
| django-celery-ses | https://github.com/StreetVoice/django-celery-ses |
| modoboa | https://github.com/tonioo/modoboa |
| envelopes | http://tomekwojcik.github.io/envelopes/ |
| mailjet | https://github.com/WoLpH/mailjet |
| Talon | https://github.com/mailgun/talon |
| pyzmail | http://www.magiksys.net/pyzmail/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#internationalization |
| Babel | http://babel.pocoo.org/ |
| Korean | https://korean.readthedocs.org/ |
| Korean | http://en.wikipedia.org/wiki/Korean_language |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#url-manipulation |
| furl | https://github.com/gruns/furl |
| purl | https://github.com/codeinthehole/purl |
| pyshorteners | https://github.com/ellisonleao/pyshorteners |
| short_url | https://github.com/Alir3z4/python-short_url |
| webargs | https://github.com/sloria/webargs |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#html-manipulation |
| BeautifulSoup | http://www.crummy.com/software/BeautifulSoup/bs4/doc/ |
| lxml | http://lxml.de/ |
| html5lib | https://github.com/html5lib/html5lib-python |
| pyquery | https://github.com/gawel/pyquery |
| cssutils | https://pypi.python.org/pypi/cssutils/ |
| MarkupSafe | https://github.com/mitsuhiko/markupsafe |
| bleach | http://bleach.readthedocs.org/ |
| xmltodict | https://github.com/martinblech/xmltodict |
| xhtml2pdf | https://github.com/chrisglass/xhtml2pdf |
| untangle | https://github.com/stchris/untangle |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#web-crawling |
| Scrapy | http://scrapy.org/ |
| portia | https://github.com/scrapinghub/portia |
| feedparser | http://pythonhosted.org/feedparser/ |
| RoboBrowser | https://github.com/jmcarp/robobrowser |
| MechanicalSoup | https://github.com/hickford/MechanicalSoup |
| mechanize | http://wwwsearch.sourceforge.net/mechanize/ |
| Demiurge | https://github.com/matiasb/demiurge |
| cola | https://github.com/chineking/cola |
| pyspider | https://github.com/binux/pyspider |
| Grab | http://grablib.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#web-content-extracting |
| newspaper | https://github.com/codelucas/newspaper |
| html2text | https://github.com/Alir3z4/html2text |
| python-goose | https://github.com/grangier/python-goose |
| lassie | https://github.com/michaelhelmick/lassie |
| micawber | https://github.com/coleifer/micawber |
| sumy | https://github.com/miso-belica/sumy |
| Haul | https://github.com/vinta/Haul |
| python-readability | https://github.com/buriy/python-readability |
| opengraph | https://github.com/erikriver/opengraph |
| textract | https://github.com/deanmalmgren/textract |
| sanitize | https://github.com/Alir3z4/sanitize |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#forms |
| WTForms | http://wtforms.readthedocs.org/ |
| WTForms-JSON | http://wtforms-json.readthedocs.org/ |
| Deform | http://deform.readthedocs.org/ |
| django-bootstrap3 | https://github.com/dyve/django-bootstrap3 |
| django-crispy-forms | http://django-crispy-forms.readthedocs.org/ |
| django-remote-forms | https://github.com/WiserTogether/django-remote-forms |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#data-validation |
| Cerberus | http://python-cerberus.org |
| voluptuous | https://github.com/alecthomas/voluptuous |
| colander | http://docs.pylonsproject.org/projects/colander/ |
| schema | https://github.com/halst/schema |
| Schematics | https://github.com/schematics/schematics |
| kmatch | https://github.com/ambitioninc/kmatch |
| valideer | https://github.com/podio/valideer |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#anti-spam |
| django-simple-spam-blocker | https://github.com/moqada/django-simple-spam-blocker |
| django-simple-captcha | https://github.com/mbi/django-simple-captcha |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#tagging |
| django-taggit | https://github.com/alex/django-taggit |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#admin-panels |
| Ajenti | https://github.com/Eugeny/ajenti |
| Grappelli | http://grappelliproject.com |
| django-suit | http://djangosuit.com/ |
| django-xadmin | https://github.com/sshwsfc/django-xadmin |
| flask-admin | https://github.com/mrjoes/flask-admin |
| flower | https://github.com/mher/flower |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#static-site-generator |
| Pelican | http://blog.getpelican.com/ |
| Cactus | http://github.com/koenbok/Cactus/ |
| Hyde | https://hyde.github.com/ |
| Nikola | http://www.getnikola.com/ |
| Tinkerer | http://tinkerer.me/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#processes-and-threads |
| multiprocessing | https://docs.python.org/2/library/multiprocessing.html |
| threading | https://docs.python.org/2/library/threading.html |
| envoy | https://github.com/kennethreitz/envoy |
| sh | https://github.com/amoffat/sh |
| subprocess | https://docs.python.org/2/library/subprocess.html |
| sarge | http://sarge.readthedocs.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#competition-and-networking |
| asyncio | https://docs.python.org/3/library/asyncio.html |
| gevent | http://www.gevent.org/ |
| greenlet | https://github.com/python-greenlet/greenlet |
| Twisted | https://twistedmatrix.com/trac/ |
| Tornado | http://www.tornadoweb.org/ |
| pulsar | https://github.com/quantmind/pulsar |
| diesel | https://github.com/jamwt/diesel |
| eventlet | http://eventlet.net/ |
| pyzmq | http://zeromq.github.io/pyzmq/ |
| txZMQ | https://github.com/smira/txZMQ |
| Crossbar | http://crossbar.io |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#websocket |
| AutobahnPython | https://github.com/tavendo/AutobahnPython |
| asyncio | https://docs.python.org/3/library/asyncio.html |
| WebSocket-for-Python | https://github.com/Lawouach/WebSocket-for-Python |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#wsgi-servers |
| uwsgi | https://uwsgi-docs.readthedocs.org/en/latest/ |
| Werkzeug | http://werkzeug.pocoo.org/ |
| paste | http://pythonpaste.org/ |
| rocket | http://pypi.python.org/pypi/rocket |
| waitress | https://waitress.readthedocs.org/ |
| netius | https://github.com/hivesolutions/netius |
| gunicorn | http://pypi.python.org/pypi/gunicorn |
| fapws3 | http://www.fapws.org/ |
| meinheld | http://pypi.python.org/pypi/meinheld |
| bjoern | http://pypi.python.org/pypi/bjoern |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#rpc-servers |
| SimpleXMLRPCServer | https://docs.python.org/2/library/simplexmlrpcserver.html |
| SimpleJSONRPCServer | https://github.com/joshmarshall/jsonrpclib/ |
| zeroRPC | https://github.com/dotcloud/zerorpc-python |
| ZeroMQ | http://zeromq.org/ |
| MessagePack | http://msgpack.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#cryptography |
| PyCrypto | https://www.dlitz.net/software/pycrypto/ |
| Paramiko | http://www.paramiko.org/ |
| cryptography | https://cryptography.io/ |
| PyNacl | https://github.com/pyca/pynacl |
| hashids | https://github.com/davidaurelio/hashids-python |
| hashids | http://hashids.org |
| Passlib | https://pythonhosted.org/passlib/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#gui |
| PyQt | http://www.riverbankcomputing.co.uk/software/pyqt/intro |
| Qt | http://qt-project.org/ |
| PySide | http://qt-project.org/wiki/pyside |
| Qt | http://qt-project.org/ |
| wxPython | http://wxpython.org/ |
| kivy | http://kivy.org/ |
| curses | https://docs.python.org/2/library/curses.html#module-curses |
| ncurses | http://www.gnu.org/software/ncurses/ |
| urwid | http://urwid.org/ |
| pyglet | http://www.pyglet.org/ |
| Tkinter | https://wiki.python.org/moin/TkInter |
| enaml | https://github.com/nucleic/enaml |
| Toga | https://github.com/pybee/toga |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#game-development |
| Pygame | http://www.pygame.org/news.html |
| Cocos2d | http://cocos2d.org/ |
| PySDL2 | http://pysdl2.readthedocs.org/ |
| Panda3D | https://www.panda3d.org/ |
| PyOgre | http://www.ogre3d.org/tikiwiki/PyOgre |
| PyOpenGL | http://pyopengl.sourceforge.net/ |
| PySFML | http://www.python-sfml.org/ |
| SFML | http://www.sfml-dev.org/ |
| RenPy | http://www.renpy.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#logging |
| logging | https://docs.python.org/2/library/logging.html |
| logbook | http://pythonhosted.org/Logbook/ |
| Sentry | https://pypi.python.org/pypi/sentry |
| Raven | http://raven.readthedocs.org/ |
| Eliot | https://eliot.readthedocs.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#testing |
| unittest | https://docs.python.org/2/library/unittest.html |
| nose | https://nose.readthedocs.org/ |
| pytest | http://pytest.org/ |
| mamba | https://nestorsalceda.github.io/mamba |
| contexts | https://github.com/benjamin-hodgson/Contexts |
| pyshould | https://github.com/drslump/pyshould |
| PyHamcrest | https://github.com/hamcrest/PyHamcrest |
| pyvows | http://heynemann.github.io/pyvows/ |
| Vows.js | http://vowsjs.org/ |
| hypothesis | https://github.com/DRMacIver/hypothesis |
| Selenium | https://pypi.python.org/pypi/selenium |
| Selenium | http://www.seleniumhq.org/ |
| splinter | http://splinter.cobrateam.info/ |
| locust | https://github.com/locustio/locust |
| sixpack | https://github.com/seatgeek/sixpack |
| mock | https://pypi.python.org/pypi/mock |
| responses | https://github.com/dropbox/responses |
| doublex | https://pypi.python.org/pypi/doublex |
| freezegun | https://github.com/spulec/freezegun |
| httpretty | http://falcao.it/HTTPretty/ |
| httmock | https://github.com/patrys/httmock |
| coverage | https://pypi.python.org/pypi/coverage |
| faker | http://www.joke2k.net/faker/ |
| fake2db | https://github.com/emirozer/fake2db |
| factory_boy | https://github.com/rbarrois/factory_boy |
| mixer | https://mixer.readthedocs.org |
| model_mommy | https://github.com/vandersonmota/model_mommy |
| radar | https://pypi.python.org/pypi/radar |
| FuckIt.py | https://github.com/ajalt/fuckitpy |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#code-analysis-and-linter |
| pysonar2 | https://github.com/yinwang0/pysonar2 |
| pycallgraph | https://github.com/gak/pycallgraph |
| code2flow | https://github.com/scottrogowski/code2flow |
| Flake8 | https://pypi.python.org/pypi/flake8 |
| pylama | https://pylama.readthedocs.org/ |
| Pylint | http://www.pylint.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#debugging-tools |
| pdb | https://docs.python.org/2/library/pdb.html |
| ipdb | https://pypi.python.org/pypi/ipdb |
| wdb | https://github.com/Kozea/wdb |
| winpdb | http://winpdb.org/ |
| pudb | https://pypi.python.org/pypi/pudb |
| pyringe | https://github.com/google/pyringe |
| python-statsd | https://github.com/WoLpH/python-statsd |
| statsd | https://github.com/etsy/statsd/ |
| memory_profiler | https://github.com/fabianp/memory_profiler |
| profiling | https://github.com/what-studio/profiling |
| django-debug-toolbar | https://github.com/django-debug-toolbar/django-debug-toolbar |
| pyelftools | https://github.com/eliben/pyelftools |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#science-and-data-analysis |
| SciPy | http://www.scipy.org/ |
| NumPy | http://www.numpy.org/ |
| Numba | http://numba.pydata.org/ |
| NetworkX | https://networkx.github.io/ |
| Pandas | http://pandas.pydata.org/ |
| Open Mining | https://github.com/avelino/mining |
| PyMC | https://github.com/pymc-devs/pymc3 |
| zipline | https://github.com/quantopian/zipline |
| PyDy | https://pydy.org/ |
| SymPy | https://github.com/sympy/sympy |
| statsmodels | https://github.com/statsmodels/statsmodels |
| astropy | http://www.astropy.org/ |
| orange | http://orange.biolab.si/ |
| RDKit | http://www.rdkit.org/ |
| Open Babel | http://openbabel.org/wiki/Main_Page |
| cclib | http://cclib.github.io/ |
| Biopython | http://biopython.org/wiki/Main_Page |
| bccb | https://github.com/chapmanb/bcbb |
| bcbio-nextgen | https://github.com/chapmanb/bcbio-nextgen |
| blaze | http://blaze.pydata.org/en/latest/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#data-visualization |
| matplotlib | http://matplotlib.org/ |
| bokeh | https://github.com/ContinuumIO/bokeh |
| plotly | https://plot.ly/python |
| vincent | https://github.com/wrobstory/vincent |
| d3py | https://github.com/mikedewar/d3py |
| D3.js | http://d3js.org/ |
| ggplot | https://github.com/yhat/ggplot |
| Kartograph.py | https://github.com/kartograph/kartograph.py |
| pygal | http://pygal.org/ |
| pygraphviz | https://pypi.python.org/pypi/pygraphviz |
| Graphviz | http://www.graphviz.org/ |
| PyQtGraph | http://www.pyqtgraph.org/ |
| VisPy | http://vispy.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#computer-vision-1 |
| OpenCV | http://opencv.org/ |
| SimpleCV | http://simplecv.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#machine-learning |
| scikit-learn | http://scikit-learn.org/ |
| pattern | https://github.com/clips/pattern |
| NuPIC | https://github.com/numenta/nupic |
| Pylearn2 | https://github.com/lisa-lab/pylearn2 |
| Theano | https://github.com/Theano/Theano |
| hebel | https://github.com/hannes-brt/hebel |
| gensim | https://github.com/piskvorky/gensim |
| PyBrain | https://github.com/pybrain/pybrain |
| Crab | https://github.com/muricoca/crab |
| python-recsys | https://github.com/ocelma/python-recsys |
| vowpal_porpoise | https://github.com/josephreisinger/vowpal_porpoise |
| Vowpal Wabbit | https://github.com/JohnLangford/vowpal_wabbit/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#mapreduce |
| PySpark | http://spark.apache.org/docs/latest/programming-guide.html |
| dpark | https://github.com/douban/dpark |
| luigi | https://github.com/spotify/luigi |
| mrjob | https://github.com/Yelp/mrjob |
| dumbo | https://github.com/klbostee/dumbo |
| streamparse | https://github.com/Parsely/streamparse |
| Apache Storm | https://storm.incubator.apache.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#functional-programming |
| fn.py | https://github.com/kachayev/fn.py |
| funcy | https://github.com/Suor/funcy |
| Toolz | https://github.com/pytoolz/toolz |
| CyToolz | https://github.com/pytoolz/cytoolz/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#third-party-apis |
| apache-libcloud | https://libcloud.apache.org/ |
| boto | https://github.com/boto/boto |
| twython | https://github.com/ryanmcgrath/twython |
| google-api-python-client | https://github.com/google/google-api-python-client |
| gspread | https://github.com/burnash/gspread |
| facebook-sdk | https://github.com/pythonforfacebook/facebook-sdk |
| facepy | https://github.com/jgorset/facepy |
| gmail | https://github.com/charlierguo/gmail |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#devops-tools |
| OpenStack | http://www.openstack.org/ |
| Ansible | https://github.com/ansible/ansible |
| SaltStack | https://github.com/saltstack/salt |
| Fabric | http://www.fabfile.org/ |
| Fabtools | https://github.com/ronnix/fabtools |
| cuisine | https://github.com/sebastien/cuisine |
| psutil | https://github.com/giampaolo/psutil |
| pexpect | https://github.com/pexpect/pexpect |
| provy | https://github.com/python-provy/provy |
| honcho | https://github.com/nickstenning/honcho |
| Foreman | https://github.com/ddollar/foreman |
| gunnery | https://github.com/gunnery/gunnery |
| Docker-Compose | https://docs.docker.com/compose/ |
| Docker | https://www.docker.com/ |
| hgapi | http://bitbucket.org/haard/hgapi |
| gitapi | http://bitbucket.org/haard/gitapi |
| supervisor | https://github.com/Supervisor/supervisor |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#job-scheduler |
| APScheduler | http://apscheduler.readthedocs.org/ |
| doit | http://pydoit.org/ |
| Joblib | http://pythonhosted.org/joblib/index.html |
| Plan | https://github.com/fengsp/plan |
| Spiff | https://github.com/knipknap/SpiffWorkflow |
| schedule | https://github.com/dbader/schedule |
| TaskFlow | http://docs.openstack.org/developer/taskflow/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#foreign-function-interface |
| ctypes | https://docs.python.org/2/library/ctypes.html |
| cffi | https://pypi.python.org/pypi/cffi |
| SWIG | http://www.swig.org/Doc1.3/Python.html |
| PyCUDA | http://mathema.tician.de/software/pycuda/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#high-performance |
| Cython | http://cython.org/ |
| PyPy | http://pypy.org/ |
| Stackless Python | http://www.stackless.com/ |
| Pyston | https://github.com/dropbox/pyston |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#microsoft-windows |
| PyWin32 | http://sourceforge.net/projects/pywin32/ |
| PythonNet | https://github.com/pythonnet/pythonnet |
| pythonlibs | http://www.lfd.uci.edu/~gohlke/pythonlibs/ |
| spyder | https://code.google.com/p/spyderlib/ |
| Python(x,y) | https://code.google.com/p/pythonxy/ |
| WinPython | https://winpython.github.io/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#network-virtualization-and-sdn |
| Mininet | http://mininet.org/ |
| POX | http://www.noxrepo.org/pox/about-pox/ |
| Pyretic | http://frenetic-lang.org/pyretic/ |
| SDX Platform | https://github.com/sdn-ixp/internet2award |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#hardware |
| PyUserInput | https://github.com/SavinaRoja/PyUserInput |
| wifi | https://wifi.readthedocs.org/ |
| scapy | http://www.secdev.org/projects/scapy/ |
| ino | http://inotool.org/ |
| Arduino | http://www.arduino.cc/ |
| Pyro | http://pyrorobotics.com/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#compatibility |
| Six | https://pypi.python.org/pypi/six |
| Python-Future | http://python-future.org/index.html |
| Python-Modernize | https://github.com/mitsuhiko/python-modernize |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#miscellaneous |
| pluginbase | https://github.com/mitsuhiko/pluginbase |
| itsdangerous | https://github.com/mitsuhiko/itsdangerous |
| blinker | https://github.com/jek/blinker |
| Pychievements | https://github.com/PacketPerception/pychievements |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#algorithms-and-design-patterns |
| python-patterns | https://github.com/faif/python-patterns |
| algorithms | https://github.com/nryoung/algorithms |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#editor-plugins |
| Python-mode | https://github.com/klen/python-mode |
| Jedi-vim | https://github.com/davidhalter/jedi-vim |
| Jedi | https://github.com/davidhalter/jedi |
| YouCompleteMe | https://github.com/Valloric/YouCompleteMe |
| Jedi | https://github.com/davidhalter/jedi |
| Elpy | https://github.com/jorgenschaefer/elpy |
| SublimeJEDI | https://github.com/srusskih/SublimeJEDI |
| Jedi | https://github.com/davidhalter/jedi |
| Anaconda | https://github.com/DamnWidget/anaconda |
| Linter | https://github.com/AtomLinter/Linter |
| Linter-flake8 | https://github.com/AtomLinter/linter-flake8 |
| virtualenv | https://github.com/jhutchins/virtualenv |
| Pylearn2 | https://github.com/lisa-lab/pylearn2 |
| Theano | https://github.com/Theano/Theano |
| keras | https://github.com/fchollet/keras |
| Theano | https://github.com/Theano/Theano |
| hebel | https://github.com/hannes-brt/hebel |
| PyBrain | https://github.com/pybrain/pybrain |
| Crab | https://github.com/muricoca/crab |
| python-recsys | https://github.com/ocelma/python-recsys |
| breze | https://github.com/breze-no-salt/breze |
| pyhsmm | https://github.com/mattjj/pyhsmm |
| mrjob | https://pythonhosted.org/mrjob/ |
| Spearmint | https://github.com/JasperSnoek/spearmint |
| PyMC | https://github.com/pymc-devs/pymc |
| zipline | https://github.com/quantopian/zipline |
| SymPy | https://github.com/sympy/sympy |
| XGBoost.R | https://github.com/tqchen/xgboost/tree/master/R-package |
| rgp | http://cran.r-project.org/web/packages/rgp/index.html |
| h2o | http://cran.r-project.org/web/packages/h2o/index.html |
| caret | http://caret.r-forge.r-project.org/ |
| caretEnsemble | http://cran.r-project.org/web/packages/caretEnsemble/index.html |
| bigRR | http://cran.r-project.org/web/packages/bigRR/index.html |
| bmrm | http://cran.r-project.org/web/packages/bmrm/index.html |
| GreatCircle | https://github.com/mwgg/GreatCircle |
| climin | https://github.com/BRML/climin |
| Allen Downey’s Data Science Course | https://github.com/AllenDowney/DataScience |
| Allen Downey’s Think Bayes Code | https://github.com/AllenDowney/ThinkBayes |
| Allen Downey’s Think Complexity Code | https://github.com/AllenDowney/ThinkComplexity |
| Allen Downey’s Think OS Code | https://github.com/AllenDowney/ThinkOS |
| python-timbl | https://github.com/proycon/python-timbl |
| mlxtend | https://github.com/rasbt/mlxtend |
| neon | https://github.com/NervanaSystems/neon |
| high-performance | https://github.com/soumith/convnet-benchmarks |
| Theano | https://github.com/Theano/Theano/ |
| Petrel | https://github.com/AirSage/Petrel |
| Blaze | https://github.com/ContinuumIO/blaze |
| emcee | https://github.com/dfm/emcee |
| windML | http://www.windml.org |
| vispy | https://github.com/vispy/vispy |
| cerebro2 | https://github.com/numenta/nupic.cerebro2 |
| NuPIC Studio | https://github.com/nupic-community/nupic.studio |
| Open Mining | https://github.com/avelino/mining |
| PyDy | https://pydy.org/ |
| statsmodels | https://github.com/statsmodels/statsmodels |
| astropy | http://www.astropy.org/ |
| matplotlib | http://matplotlib.org/ |
| bokeh | https://github.com/ContinuumIO/bokeh |
| plotly | https://plot.ly/python |
| vincent | https://github.com/wrobstory/vincent |
| d3py | https://github.com/mikedewar/d3py |
| D3.js | http://d3js.org/ |
| ggplot | https://github.com/yhat/ggplot |
| Kartograph.py | https://github.com/kartograph/kartograph.py |
| pygal | http://pygal.org/ |
| PyQtGraph | https://github.com/pyqtgraph/pyqtgraph |
| SciPy | http://www.scipy.org/ |
| NumPy | http://www.numpy.org/ |
| Numba | http://numba.pydata.org/ |
| NetworkX | https://networkx.github.io/ |
| Pandas | http://pandas.pydata.org/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#sequence-analysis |
| ToPS | https://github.com/ayoshiaki/tops |
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| PyCharm | https://www.jetbrains.com/pycharm/ |
| Komodo | http://komodoide.com/ |
| LiClipse | http://www.liclipse.com/ |
| Spyder | https://github.com/spyder-ide/spyder |
| WingIDE | http://wingide.com/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#websites |
| r/Python | http://www.reddit.com/r/python |
| Python 3 Wall of Superpowers | http://python3wos.appspot.com/ |
| Trending Python repositories on GitHub today | https://github.com/trending?l=python |
| Python Hackers | http://pythonhackers.com/open-source/ |
| CoolGithubProjects | http://coolgithubprojects.com/ |
| Full Stack Python | http://www.fullstackpython.com/ |
| Pycoder's Weekly | http://pycoders.com/ |
| Python Weekly | http://www.pythonweekly.com/ |
| Import Python Newsletter | http://importpython.com/newsletter/ |
| Hacker News for Data Science | http://www.datatau.com/news |
| The O'Reilly Data Show | http://radar.oreilly.com/tag/oreilly-data-show-podcast |
| Partially Derivative | http://www.partiallyderivative.com/ |
| The Talking Machines | http://www.thetalkingmachines.com/ |
| The Data Skeptic | http://dataskeptic.com/ |
| Linear Digressions | https://www.udacity.com/podcasts/linear-digressions |
| Data Stories | http://datastori.es/ |
| Learning Machines 101 | http://www.learningmachines101.com/ |
| http://iamtrask.github.io/ | http://iamtrask.github.io/ |
| http://blog.explainmydata.com/ | http://blog.explainmydata.com/ |
| http://andrewgelman.com/ | http://andrewgelman.com/ |
| http://simplystatistics.org/ | http://simplystatistics.org/ |
| http://www.evanmiller.org/ | http://www.evanmiller.org/ |
| http://jakevdp.github.io/ | http://jakevdp.github.io/ |
| http://blog.yhathq.com/ | http://blog.yhathq.com/ |
| http://blog.wesmckinney.com/ | http://blog.wesmckinney.com/ |
| http://www.overkillanalytics.net/ | http://www.overkillanalytics.net/ |
| http://newton.cx/~peter/ | http://newton.cx/~peter/ |
| http://mbakker7.github.io/exploratory_computing_with_python/ | http://mbakker7.github.io/exploratory_computing_with_python/ |
| http://sebastianraschka.com/articles.html | http://sebastianraschka.com/articles.html |
| http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ | http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ |
| http://colah.github.io/ | http://colah.github.io/ |
| http://snippyhollow.github.io/ | http://snippyhollow.github.io/ |
| http://www.thomasdimson.com/ | http://www.thomasdimson.com/ |
| http://blog.smellthedata.com/ | http://blog.smellthedata.com/ |
| http://sebastianraschka.com/ | http://sebastianraschka.com/ |
| http://dogdogfish.com/ | http://dogdogfish.com/ |
| http://www.johnmyleswhite.com/ | http://www.johnmyleswhite.com/ |
| http://drewconway.com/zia/ | http://drewconway.com/zia/ |
| http://bugra.github.io/ | http://bugra.github.io/ |
| http://opendata.cern.ch/ | http://opendata.cern.ch/ |
| http://alexanderetz.com/ | http://alexanderetz.com/ |
| http://www.sumsar.net/ | http://www.sumsar.net/ |
| http://countbayesie.com | http://countbayesie.com |
| http://karpathy.github.io/ | http://karpathy.github.io/ |
| http://blog.dato.com/ | http://blog.dato.com/ |
| http://blog.kaggle.com/ | http://blog.kaggle.com/ |
| http://www.danvk.org/ | http://www.danvk.org/ |
| http://hunch.net/ | http://hunch.net/ |
| http://www.sumsar.net/ | http://www.sumsar.net/ |
| http://allendowney.blogspot.ca/ | http://allendowney.blogspot.ca/ |
| http://healthyalgorithms.com/ | http://healthyalgorithms.com/ |
| http://petewarden.com/ | http://petewarden.com/ |
| http://mrtz.org/blog/ | http://mrtz.org/blog/ |
| http://jordan-wright.github.io/blog/ | http://jordan-wright.github.io/blog/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#machine-learning--data-mining |
| An Introduction To Statistical Learning | http://www-bcf.usc.edu/~gareth/ISL/ |
| Elements of Statistical Learning | http://statweb.stanford.edu/~tibs/ElemStatLearn/ |
| Probabilistic Programming & Bayesian Methods for Hackers | http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ |
| Thinking Bayes | http://www.greenteapress.com/thinkbayes/ |
| Information Theory, Inference, and Learning Algorithms | http://www.inference.phy.cam.ac.uk/mackay/itila/book.html |
| Gaussian Processes for Machine Learning | http://www.gaussianprocess.org/gpml/chapters/ |
| Data Intensive Text Processing w/ MapReduce | http://lintool.github.io/MapReduceAlgorithms/ |
| Reinforcement Learning: - An Introduction | http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html |
| Mining Massive Datasets | http://infolab.stanford.edu/~ullman/mmds/book.pdf |
| A First Encounter with Machine Learning | https://www.ics.uci.edu/~welling/teaching/273ASpring10/IntroMLBook.pdf |
| Pattern Recognition and Machine Learning | http://www.hua.edu.vn/khoa/fita/wp-content/uploads/2013/08/Pattern-Recognition-and-Machine-Learning-Christophe-M-Bishop.pdf |
| Machine Learning & Bayesian Reasoning | http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf |
| Introduction to Machine Learning | http://alex.smola.org/drafts/thebook.pdf |
| A Probabilistic Theory of Pattern Recognition | http://www.szit.bme.hu/~gyorfi/pbook.pdf |
| Introduction to Information Retrieval | http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf |
| Forecasting: principles and practice | http://otexts.com/fpp/ |
| Introduction to Machine Learning | http://arxiv.org/pdf/0904.3664v1.pdf |
| Reinforcement Learning | http://www.intechopen.com/books/reinforcement_learning |
| Machine Learning | http://www.intechopen.com/books/machine_learning |
| A Quest for AI | http://ai.stanford.edu/~nilsson/QAI/qai.pdf |
| Introduction to Applied Bayesian Statistics and Estimation for Social Scientists | http://faculty.ksu.edu.sa/69424/us_BOOk/Introduction%20to%20Applied%20Bayesian%20Statistics.pdf |
| Bayesian Modeling, Inference and Prediction | http://users.soe.ucsc.edu/~draper/draper-BMIP-dec2005.pdf |
| A Course in Machine Learning | http://ciml.info/ |
| Machine Learning, Neural and Statistical Classification | http://www1.maths.leeds.ac.uk/~charles/statlog/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#natural-language-processing-2 |
| Coursera Course Book on NLP | http://www.cs.columbia.edu/~mcollins/notes-spring2013.html |
| NLTK | http://www.nltk.org/book/ |
| NLP w/ Python | http://victoria.lviv.ua/html/fl5/NaturalLanguageProcessingWithPython.pdf |
| Foundations of Statistical Natural Language Processing | http://nlp.stanford.edu/fsnlp/promo/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#neural-networks |
| A Brief Introduction to Neural Networks | http://www.dkriesel.com/_media/science/neuronalenetze-en-zeta2-2col-dkrieselcom.pdf |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#probability--statistics |
| Thinking Stats | http://www.greenteapress.com/thinkstats/ |
| From Algorithms to Z-Scores | http://heather.cs.ucdavis.edu/probstatbook |
| The Art of R Programming | http://heather.cs.ucdavis.edu/~matloff/132/NSPpart.pdf |
| All of Statistics | http://www.ucl.ac.uk/~rmjbale/Stat/wasserman2.pdf |
| Introduction to statistical thought | https://www.math.umass.edu/~lavine/Book/book.pdf |
| Basic Probability Theory | http://www.math.uiuc.edu/~r-ash/BPT/BPT.pdf |
| Introduction to probability | http://math.dartmouth.edu/~prob/prob/prob.pdf |
| Principle of Uncertainty | http://uncertainty.stat.cmu.edu/wp-content/uploads/2011/05/principles-of-uncertainty.pdf |
| Probability & Statistics Cookbook | http://matthias.vallentin.net/probability-and-statistics-cookbook/ |
| Advanced Data Analysis From An Elmentary Point of View | http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/ADAfaEPoV.pdf |
| Introduction to Probability | http://athenasc.com/probbook.html |
| The Elements of Statistical Learning: Data Mining, Inference, and Prediction. | http://statweb.stanford.edu/~tibs/ElemStatLearn/ |
| An Introduction to Statistical Learning with Applications in R | http://www-bcf.usc.edu/~gareth/ISL/ |
| Learning Statistics Using R | http://health.adelaide.edu.au/psychology/ccs/teaching/lsr/ |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#linear-algebra |
| Linear Algebra Done Wrong | http://www.math.brown.edu/~treil/papers/LADW/book.pdf |
| Linear Algebra, Theory, and Applications | https://math.byu.edu/~klkuttle/Linearalgebra.pdf |
| Convex Optimization | http://www.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf |
| Applied Numerical Computing | http://www.seas.ucla.edu/~vandenbe/103/reader.pdf |
| Applied Numerical Linear Algebra | http://uqu.edu.sa/files2/tiny_mce/plugins/filemanager/files/4281667/hamdy/hamdy1/cgfvnv/hamdy2/h1/h2/h3/h4/h5/h6/Applied%20Numerical%20Linear%20.pdf |
| https://patch-diff.githubusercontent.com/LexCode74/awesome-machine-learning-python#twitter |
| @pypi | https://twitter.com/pypi |
| @planetpython | https://twitter.com/planetpython |
| @getpy | https://twitter.com/getpy |
| @pycoders | https://twitter.com/pycoders |
| @PythonWeekly | https://twitter.com/PythonWeekly |
| @pythontrending | https://twitter.com/pythontrending |
| pycrumbs | https://github.com/kirang89/pycrumbs/blob/master/pycrumbs.md |
| pythonidae | https://github.com/svaksha/pythonidae |
| python-github-projects | https://github.com/checkcheckzz/python-github-projects |
| python_reference | https://github.com/rasbt/python_reference |
| easy-python | http://easy-python.readthedocs.org/ |
| SciPy 2015 | http://scipy2015.scipy.org/ |
| PyData London Meetup | http://www.meetup.com/PyData-London-Meetup/ |
| San Francisco PyData | http://www.meetup.com/San-Francisco-PyData/ |
| PyData Seattle | http://www.meetup.com/PyData-Seattle/ |
| PyData NYC | http://www.meetup.com/PyDataNYC/ |
| Front Range PyData | http://www.meetup.com/Front-Range-PyData/ |
| PyData Berlin | http://www.meetup.com/PyData-Berlin/ |
| PyData Boston | http://www.meetup.com/PyData-Boston/ |
| PyData Warsaw | http://www.meetup.com/PyData-Warsaw/ |
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