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PyNLPlhttps://github.com/proycon/pynlpl
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online demoshttp://tworld.io/ss3/
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editdistancehttps://pypi.org/project/editdistance/
textacyhttps://github.com/chartbeat-labs/textacy
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bayesohttps://github.com/jungtaekkim/bayeso
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sktimehttps://github.com/alan-turing-institute/sktime
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Opytimizerhttps://github.com/gugarosa/opytimizer
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activeloop.aihttps://activeloop.ai
Synthiahttps://github.com/dmey/synthia
ByteHubhttps://github.com/bytehub-ai/bytehub
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Riverhttps://github.com/online-ml/river
FEDOThttps://github.com/nccr-itmo/FEDOT
Sklearn-genetic-opthttps://github.com/rodrigo-arenas/Sklearn-genetic-opt
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https://github.com/PyMachine-Collective/.github#data-analysis--data-visualization
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Cartopyhttps://scitools.org.uk/cartopy/docs/latest/
SciPyhttps://www.scipy.org/
NumPyhttps://www.numpy.org/
AutoVizhttps://github.com/AutoViML/AutoViz
Medium articlehttps://towardsdatascience.com/autoviz-a-new-tool-for-automated-visualization-ec9c1744a6ad?source=friends_link&sk=c9e9503ec424b191c6096d7e3f515d10
Numbahttps://numba.pydata.org/
Marshttps://github.com/mars-project/mars
NetworkXhttps://networkx.github.io/
igraphhttps://igraph.org/python/
Pandashttps://pandas.pydata.org/
ParaMontehttps://github.com/cdslaborg/paramonte
herehttps://www.cdslab.org/paramonte/
Open Mininghttps://github.com/mining/mining
PyMChttps://github.com/pymc-devs/pymc
ziplinehttps://github.com/quantopian/zipline
PyDyhttps://www.pydy.org/
SymPyhttps://github.com/sympy/sympy
statsmodelshttps://github.com/statsmodels/statsmodels
astropyhttps://www.astropy.org/
matplotlibhttps://matplotlib.org/
bokehhttps://github.com/bokeh/bokeh
plotlyhttps://plot.ly/python/
altairhttps://github.com/altair-viz/altair
d3pyhttps://github.com/mikedewar/d3py
D3.jshttps://d3js.org/
PyDexterhttps://github.com/D3xterjs/pydexter
ggplothttps://github.com/yhat/ggpy
ggfortifyhttps://github.com/sinhrks/ggfortify
Kartograph.pyhttps://github.com/kartograph/kartograph.py
pygalhttp://pygal.org/en/stable/
PyQtGraphhttps://github.com/pyqtgraph/pyqtgraph
pycascadinghttps://github.com/twitter/pycascading
Petrelhttps://github.com/AirSage/Petrel
Blazehttps://github.com/blaze/blaze
emceehttps://github.com/dfm/emcee
windMLhttps://github.com/cigroup-ol/windml
vispyhttps://github.com/vispy/vispy
cerebro2https://github.com/numenta/nupic.cerebro2
NuPIC Studiohttps://github.com/htm-community/nupic.studio
SparklingPandashttps://github.com/sparklingpandas/sparklingpandas
Seabornhttps://seaborn.pydata.org/
bqplothttps://github.com/bloomberg/bqplot
pastaloghttps://github.com/rewonc/pastalog
Supersethttps://github.com/apache/incubator-superset
Dorahttps://github.com/nathanepstein/dora
Ruffushttp://www.ruffus.org.uk
SOMPYhttps://github.com/sevamoo/SOMPY
somocluhttps://github.com/peterwittek/somoclu
HDBScanhttps://github.com/lmcinnes/hdbscan
visualize_MLhttps://github.com/ayush1997/visualize_ML
scikit-plothttps://github.com/reiinakano/scikit-plot
Bowtiehttps://github.com/jwkvam/bowtie
limehttps://github.com/marcotcr/lime
PyCMhttps://github.com/sepandhaghighi/pycm
Dashhttps://github.com/plotly/dash
Lambdohttps://github.com/asavinov/lambdo
TensorWatchhttps://github.com/microsoft/tensorwatch
dowelhttps://github.com/rlworkgroup/dowel
https://camo.githubusercontent.com/b4dddee5d06ddd42ef1b5b25552d5adee1e1bea6fb55404dc3d81c884fc5c2a4/68747470733a2f2f656e637279707465642d74626e302e677374617469632e636f6d2f696d616765733f713d74626e3a414e64394763544852714c4e4f38685261424d4f43447854735372797835385a376f59576f68707634586d376d3151795f5636766a47574f3145636d6574524e543969336a676d4b55675126757371703d434155
https://github.com/PyMachine-Collective/.github#misc-scripts--ipython-notebooks--codebases
MiniGradhttps://github.com/kennysong/minigrad
Map/Reduce implementations of common ML algorithmshttps://github.com/Yannael/BigDataAnalytics_INFOH515
BioPyhttps://github.com/jaredthecoder/BioPy
CAEs for Data Assimilationhttps://github.com/julianmack/Data_Assimilation
Data Assimilationhttps://en.wikipedia.org/wiki/Data_assimilation
SVM Explorerhttps://github.com/plotly/dash-svm
pattern_classificationhttps://github.com/rasbt/pattern_classification
thinking stats 2https://github.com/Wavelets/ThinkStats2
hyperopthttps://github.com/hyperopt/hyperopt-sklearn
numpichttps://github.com/numenta/nupic
2012-paper-diginormhttps://github.com/dib-lab/2012-paper-diginorm
A gallery of interesting IPython notebookshttps://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks
ipython-notebookshttps://github.com/ogrisel/notebooks
data-science-ipython-notebookshttps://github.com/donnemartin/data-science-ipython-notebooks
decision-weightshttps://github.com/CamDavidsonPilon/decision-weights
Sarah Palin LDAhttps://github.com/Wavelets/sarah-palin-lda
Diffusion Segmentationhttps://github.com/Wavelets/diffusion-segmentation
Scipy Tutorialshttps://github.com/Wavelets/scipy-tutorials
Crabhttps://github.com/marcelcaraciolo/crab
BayesPyhttps://github.com/maxsklar/BayesPy
scikit-learn tutorialshttps://github.com/GaelVaroquaux/scikit-learn-tutorial
sentiment-analyzerhttps://github.com/madhusudancs/sentiment-analyzer
sentiment_classifierhttps://github.com/kevincobain2000/sentiment_classifier
group-lassohttps://github.com/fabianp/group_lasso
jProcessinghttps://github.com/kevincobain2000/jProcessing
mne-python-notebookshttps://github.com/mne-tools/mne-python-notebooks
Neon Coursehttps://github.com/NervanaSystems/neon_course
pandas cookbookhttps://github.com/jvns/pandas-cookbook
climinhttps://github.com/BRML/climin
Allen Downey’s Data Science Coursehttps://github.com/AllenDowney/DataScience
Allen Downey’s Think Bayes Codehttps://github.com/AllenDowney/ThinkBayes
Allen Downey’s Think Complexity Codehttps://github.com/AllenDowney/ThinkComplexity
Allen Downey’s Think OS Codehttps://github.com/AllenDowney/ThinkOS
Python Programming for the Humanitieshttps://www.karsdorp.io/python-course/
GreatCirclehttps://github.com/mwgg/GreatCircle
Optunity exampleshttp://optunity.readthedocs.io/en/latest/notebooks/index.html
Dive into Machine Learning with Python Jupyter notebook and scikit-learnhttps://github.com/hangtwenty/dive-into-machine-learning
TDBhttps://github.com/ericjang/tdb
Suironhttps://github.com/kendricktan/suiron/
Introduction to machine learning with scikit-learnhttps://github.com/justmarkham/scikit-learn-videos
Practical XGBoost in Pythonhttps://parrotprediction.teachable.com/p/practical-xgboost-in-python
Introduction to Machine Learning with Pythonhttps://github.com/amueller/introduction_to_ml_with_python
Pydata bookhttps://github.com/wesm/pydata-book
Homemade Machine Learninghttps://github.com/trekhleb/homemade-machine-learning
Prodmodelhttps://github.com/prodmodel/prodmodel
the-elements-of-statistical-learninghttps://github.com/maitbayev/the-elements-of-statistical-learning
Hyperparameter-Optimization-of-Machine-Learning-Algorithmshttps://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
https://camo.githubusercontent.com/0ed8468721f9c59b29a985f2c7fa26cf160c997851bc5b0ad465d8e4530234ce/68747470733a2f2f656e637279707465642d74626e302e677374617469632e636f6d2f696d616765733f713d74626e3a414e6439476351485f375a4b736a704b62435455556959495676754867674c5f4761313048495f546a6726757371703d434155
https://github.com/PyMachine-Collective/.github#neural-networks
nn_builderhttps://github.com/p-christ/nn_builder
NeuralTalkhttps://github.com/karpathy/neuraltalk
Neuronhttps://github.com/molcik/python-neuron
NeuralTalkhttps://github.com/karpathy/neuraltalk2
Neuronhttps://github.com/molcik/python-neuron
Data Driven Codehttps://github.com/atmb4u/data-driven-code
Machine Learning, Data Science and Deep Learning with Pythonhttps://www.manning.com/livevideo/machine-learning-data-science-and-deep-learning-with-python
TResNet: High Performance GPU-Dedicated Architecturehttps://github.com/mrT23/TResNet
TResNet: Simple and powerful neural network library for pythonhttps://github.com/zueve/neurolab
Jina AIhttps://jina.ai/
sequiturhttps://github.com/shobrook/sequitur
https://github.com/PyMachine-Collective/.github#kaggle-competition-source-code
open-solution-home-credithttps://github.com/neptune-ml/open-solution-home-credit
experiments resultshttps://app.neptune.ml/neptune-ml/Home-Credit-Default-Risk
Home Credit Default Riskhttps://www.kaggle.com/c/home-credit-default-risk
open-solution-googleai-object-detectionhttps://github.com/neptune-ml/open-solution-googleai-object-detection
experiments resultshttps://app.neptune.ml/neptune-ml/Google-AI-Object-Detection-Challenge
Google AI Open Images - Object Detection Trackhttps://www.kaggle.com/c/google-ai-open-images-object-detection-track
open-solution-salt-identificationhttps://github.com/neptune-ml/open-solution-salt-identification
experiments resultshttps://app.neptune.ml/neptune-ml/Salt-Detection
TGS Salt Identification Challengehttps://www.kaggle.com/c/tgs-salt-identification-challenge
open-solution-ship-detectionhttps://github.com/neptune-ml/open-solution-ship-detection
experiments resultshttps://app.neptune.ml/neptune-ml/Ships
Airbus Ship Detection Challengehttps://www.kaggle.com/c/airbus-ship-detection
open-solution-data-science-bowl-2018https://github.com/neptune-ml/open-solution-data-science-bowl-2018
experiments resultshttps://app.neptune.ml/neptune-ml/Data-Science-Bowl-2018
2018 Data Science Bowlhttps://www.kaggle.com/c/data-science-bowl-2018
open-solution-value-predictionhttps://github.com/neptune-ml/open-solution-value-prediction
experiments resultshttps://app.neptune.ml/neptune-ml/Santander-Value-Prediction-Challenge
Santander Value Prediction Challengehttps://www.kaggle.com/c/santander-value-prediction-challenge
open-solution-toxic-commentshttps://github.com/neptune-ml/open-solution-toxic-comments
Toxic Comment Classification Challengehttps://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge
wiki challengehttps://github.com/hammer/wikichallenge
kaggle insultshttps://github.com/amueller/kaggle_insults
kaggle_acquire-valued-shoppers-challengehttps://github.com/MLWave/kaggle_acquire-valued-shoppers-challenge
kaggle-cifarhttps://github.com/zygmuntz/kaggle-cifar
kaggle-blackboxhttps://github.com/zygmuntz/kaggle-blackbox
kaggle-accelerometerhttps://github.com/zygmuntz/kaggle-accelerometer
kaggle-advertised-salarieshttps://github.com/zygmuntz/kaggle-advertised-salaries
kaggle amazonhttps://github.com/zygmuntz/kaggle-amazon
kaggle-bestbuy_bighttps://github.com/zygmuntz/kaggle-bestbuy_big
kaggle-bestbuy_smallhttps://github.com/zygmuntz/kaggle-bestbuy_small
Kaggle Dogs vs. Catshttps://github.com/kastnerkyle/kaggle-dogs-vs-cats
Kaggle Galaxy Challengehttps://github.com/benanne/kaggle-galaxies
Kaggle Genderhttps://github.com/zygmuntz/kaggle-gender
Kaggle Merckhttps://github.com/zygmuntz/kaggle-merck
Kaggle Stackoverflowhttps://github.com/zygmuntz/kaggle-stackoverflow
kaggle_acquire-valued-shoppers-challengehttps://github.com/MLWave/kaggle_acquire-valued-shoppers-challenge
wine-qualityhttps://github.com/zygmuntz/wine-quality
https://github.com/PyMachine-Collective/.github#reinforcement-learning
DeepMind Labhttps://github.com/deepmind/lab
Gymhttps://github.com/openai/gym
Serpent.AIhttps://github.com/SerpentAI/SerpentAI
ViZDoomhttps://github.com/mwydmuch/ViZDoom
Roboschoolhttps://github.com/openai/roboschool
Retrohttps://github.com/openai/retro
SLM Labhttps://github.com/kengz/SLM-Lab
Coachhttps://github.com/NervanaSystems/coach
garagehttps://github.com/rlworkgroup/garage
metaworldhttps://github.com/rlworkgroup/metaworld
acmehttps://deepmind.com/research/publications/Acme
Spinning Uphttps://spinningup.openai.com
Mazehttps://github.com/enlite-ai/maze
Readme https://github.com/PyMachine-Collective/.github#readme-ov-file
Please reload this pagehttps://github.com/PyMachine-Collective/.github
Activityhttps://github.com/PyMachine-Collective/.github/activity
Custom propertieshttps://github.com/PyMachine-Collective/.github/custom-properties
0 starshttps://github.com/PyMachine-Collective/.github/stargazers
0 watchinghttps://github.com/PyMachine-Collective/.github/watchers
0 forkshttps://github.com/PyMachine-Collective/.github/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FPyMachine-Collective%2F.github&report=PyMachine-Collective+%28user%29
Releaseshttps://github.com/PyMachine-Collective/.github/releases
Packages 0https://github.com/orgs/PyMachine-Collective/packages?repo_name=.github
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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