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Neural Stylehttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/neural-style
Numpy Operator Customizationhttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/numpy-ops
Profilinghttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/profiler
Python How Tohttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/python-howto
R-CNNhttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/rcnn
Recommender Systemshttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/recommenders
Reinforcement Learninghttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/reinforcement-learning
A3Chttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/reinforcement-learning/a3c
DDPGhttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/reinforcement-learning/ddpg
DQNhttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/reinforcement-learning/dqn
Parallel Advantage-Actor Critichttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/reinforcement-learning/parallel_actor_critic
RNN Time Majorhttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/rnn-time-major
Recurrent Neural Nethttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/rnn
Sparsehttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/sparse
Factorization Machinehttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/sparse/factorization_machine
Linear Classificationhttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/sparse/linear_classification
Matrix Factorizationhttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/sparse/matrix_factorization
Wide Deephttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/sparse/wide_deep
Single Shot MultiBox Detectorhttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/ssd
Stochastic Depthhttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/stochastic-depth
Support Vector Machinehttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/svm_mnist
Variational Auto Encoderhttps://github.com/bigbear2017/deep-cpp/blob/master/python-example/vae
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#other-deep-learning-examples-with-mxnet
Chinese plate recognitionhttps://github.com/imistyrain/mxnet-mr
imistyrainhttps://github.com/imistyrain
Fast R-CNNhttps://github.com/precedenceguo/mx-rcnn
Jian Guohttps://github.com/precedenceguo
xlvectorhttps://github.com/xlvector
github linkhttps://github.com/xlvector/learning-dl/tree/master/mxnet/ocr
Blog in Chinesehttp://blog.xlvector.net/2016-05/mxnet-ocr-cnn/
melody-rainhttps://github.com/melody-rain
github linkhttps://github.com/melody-rain/mxnet/commit/46002e31fc34c746c01bcaa7ade999187068ad3c
Blog in Chinesehttps://zhuanlan.zhihu.com/p/22698511
xlvectorhttps://github.com/xlvector
github linkhttps://gist.github.com/xlvector/c304d74f9dd6a3b68a3387985482baac
Blog in Chinesehttp://blog.xlvector.net/2016-05/mxnet-regression-classification-for-concret-continuous-features/
xlvectorhttps://github.com/xlvector
github linkhttps://github.com/xlvector/learning-dl/tree/master/mxnet/lstm_sort
Blog in Chinesehttp://blog.xlvector.net/2016-05/mxnet-lstm-example/
Neural Art using extremely lightweight (<500K) neural networkhttps://github.com/pavelgonchar/neural-art-mini
Pavel Goncharhttps://github.com/pavelgonchar
Neural Art with generative networkshttps://github.com/zhaw/neural_style
zhawhttps://github.com/zhaw
Faster R-CNN in MXNet with distributed implementation and data parallelizationhttps://github.com/dmlc/mxnet/tree/master/example/rcnn
Asynchronous Methods for Deep Reinforcement Learning in MXNethttps://github.com/zmonoid/Asyn-RL-MXNet/blob/master/mx_asyn.py
zmonoidhttps://github.com/zmonoid
Deep Q-learning in MXNethttps://github.com/zmonoid/DQN-MXNet
zmonoidhttps://github.com/zmonoid
Face Detection with End-to-End Integration of a ConvNet and a 3D Model (ECCV16)https://github.com/tfwu/FaceDetection-ConvNet-3D
tfwuhttps://github.com/tfwu
https://arxiv.org/abs/1606.00850https://arxiv.org/abs/1606.00850
End-to-End Chinese plate recognition base on MXNethttps://github.com/szad670401/end-to-end-for-chinese-plate-recognition
szad670401https://github.com/szad670401
Reproduce ResNet-v2 (Identity Mappings in Deep Residual Networks) using MXNethttps://github.com/tornadomeet/ResNet
tornadomeethttps://github.com/tornadomeet
Learning similarity among images in MXNethttp://www.jianshu.com/p/70a66c8f73d3
linkhttps://github.com/xlvector/learning-dl/tree/master/mxnet/triple-loss
Matrix decomposition (SVD) with MXNethttp://www.jianshu.com/p/ebf7bf53ed3e
linkhttps://github.com/xlvector/mxnet/blob/svd/example/svd/svd.py
MultiGPU enabled image generative models (GAN and DCGAN)https://github.com/tqchen/mxnet-gan
Tianqi Chenhttps://github.com/tqchen
Deep reinforcement learning for playing flappybird by mxnethttps://github.com/li-haoran/DRL-FlappyBird
Neural Style in Markov Random Field (MRF) and Perceptual Losses Realtime transferhttps://github.com/zhaw/neural_style
zhawhttps://github.com/zhaw
MTCNN Face keypoints detection and alignmenthttps://pangyupo.github.io/2016/10/22/mxnet-mtcnn/
githubhttps://github.com/pangyupo/mxnet_mtcnn_face_detection
pangyupohttps://github.com/pangyupo
SSD: Single Shot MultiBox Object Detectorhttps://github.com/zhreshold/mxnet-ssd
zhresholdhttps://github.com/zhreshold
Fast Neural Style in Scalahttps://github.com/Ldpe2G/DeepLearningForFun/tree/master/Mxnet-Scala/FastNeuralStyle
Ldpe2Ghttps://github.com/Ldpe2G
LSTM Human Activity Recognitionhttps://github.com/Ldpe2G/DeepLearningForFun/tree/master/Mxnet-Scala/HumanActivityRecognition
Ldpe2Ghttps://github.com/Ldpe2G
Visual Question Answeringhttps://github.com/liuzhi136/Visual-Question-Answering
liuzhi136https://github.com/liuzhi136
Deformable ConvNetshttps://arxiv.org/abs/1703.06211
githubhttps://github.com/msracver/Deformable-ConvNets
MSRACVerhttps://github.com/msracver
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#ipython-notebooks
Predict with Pre-trained modelhttps://github.com/dmlc/mxnet-notebooks/blob/master/python/moved-from-mxnet/predict-with-pretrained-model.ipynb
composite symbolhttps://github.com/dmlc/mxnet-notebooks/blob/master/python/moved-from-mxnet/composite_symbol.ipynb
cifar-10 recipehttps://github.com/dmlc/mxnet-notebooks/blob/master/python/moved-from-mxnet/cifar10-recipe.ipynb
cifar-100https://github.com/dmlc/mxnet-notebooks/blob/master/python/moved-from-mxnet/cifar-100.ipynb
simple bindhttps://github.com/dmlc/mxnet-notebooks/blob/master/python/moved-from-mxnet/simple_bind.ipynb
Multi task tutorialhttps://github.com/haria/mxnet-multi-task-example/blob/master/multi-task.ipynb
class active mapshttps://github.com/dmlc/mxnet-notebooks/blob/master/python/moved-from-mxnet/class_active_maps.ipynb
DMLC MXNet Notebookshttps://github.com/dmlc/mxnet-notebooks
AWS Seoul Summit 2017 Demoshttps://github.com/sxjscience/aws-summit-2017-seoul
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#mobile-app-examples
MXNet Android Classification Apphttps://github.com/Leliana/WhatsThis
MXNet iOS Classification Apphttps://github.com/pppoe/WhatsThis-iOS
Compile MXnet on Xcode (in Chinese)http://www.liuxiao.org/2015/12/ios-mxnet-%E7%9A%84-ios-%E7%89%88%E6%9C%AC%E7%BC%96%E8%AF%91/
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#web-predictive-services
MXNet Shinnyhttps://github.com/thirdwing/mxnet_shiny
Machine Eyehttp://rupeshs.github.io/machineye/
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#list-of-tutorials
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#gpu-technology-conference-2016-hands-on-session
Video on GTC 2016 sitehttp://on-demand.gputechconf.com/gtc/2016/video/L6143.html
Video backup in Mainland Chinahttp://pan.baidu.com/s/1eS58Gue
iPython Notebookhttps://github.com/dmlc/mxnet-gtc-tutorial
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#deep-learning-for-hackers-with-mxnet
Englishhttps://no2147483647.wordpress.com/2015/12/07/deep-learning-for-hackers-with-mxnet-1/
Chinesehttp://phunter.farbox.com/post/mxnet-tutorial1
Englishhttps://no2147483647.wordpress.com/2015/12/21/deep-learning-for-hackers-with-mxnet-2/
Chinesehttp://phunter.farbox.com/post/mxnet-tutorial2
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#mxnet-on-the-cloud
Setup Amazon AWS GPU instance with MXnethttps://no2147483647.wordpress.com/2016/01/16/setup-amazon-aws-gpu-instance-with-mxnet/
Intro Guide to AWS (MXNet with Julia)http://www.datasciencebowl.com/aws_guide/
Mike Kimhttp://www.datasciencebowl.com/author/mikekim/
Building Deep Neural Networks in the Cloud with Azure GPU VMs, MXNet and Microsoft R Serverhttps://blogs.technet.microsoft.com/machinelearning/2016/09/15/building-deep-neural-networks-in-the-cloud-with-azure-gpu-vms-mxnet-and-microsoft-r-server/
Cortana Intelligence and ML Blog Teamhttps://social.technet.microsoft.com/profile/Cortana+Intelligence+and+ML+Blog+Team
Applying Deep Learning at Cloud Scale, with Microsoft R Server & Azure Data Lakehttps://blogs.technet.microsoft.com/machinelearning/2016/10/31/applying-cloud-deep-learning-at-scale-with-microsoft-r-server-azure-data-lake/
Cortana Intelligence and ML Blog Teamhttps://social.technet.microsoft.com/profile/Cortana+Intelligence+and+ML+Blog+Team
Training Deep Neural Neural Networks on ImageNet Using Microsoft R Server and Azure GPU VMshttps://blogs.technet.microsoft.com/machinelearning/2016/11/15/imagenet-deep-neural-network-training-using-microsoft-r-server-and-azure-gpu-vms/
Cortana Intelligence and ML Blog Teamhttps://social.technet.microsoft.com/profile/Cortana+Intelligence+and+ML+Blog+Team
Cloud-Scale Text Classification with Convolutional Neural Networks on Microsoft Azurehttps://blogs.technet.microsoft.com/machinelearning/2017/02/13/cloud-scale-text-classification-with-convolutional-neural-networks-on-microsoft-azure/
Cortana Intelligence and ML Blog Teamhttps://social.technet.microsoft.com/profile/Cortana+Intelligence+and+ML+Blog+Team
Distributed Deep Learning Made Easyhttps://aws.amazon.com/blogs/compute/distributed-deep-learning-made-easy/
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#kaggle-tutorials
Kaggle 2nd Annual Data Science Bowl End-to-End Deep Learning Tutorial (Python)https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18079/end-to-end-deep-learning-tutorial-0-0392
Kaggle 2nd Annual Data Science Bowl End-to-End Deep Learning Tutorial (R)https://www.kaggle.com/c/second-annual-data-science-bowl/forums/t/18122/deep-learning-model-in-r
Dogs vs. Cats classification with mxnet and Rhttps://statist-bhfz.github.io/cats_dogs_finetune
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#learning-note
Learning Note in Chinesehttps://github.com/zhubuntu/MXNet-Learning-Note
Getting Started with MXNethttps://indico.io/blog/getting-started-with-mxnet/
indico.iohttps://indico.io
MXNet实践http://www.infoq.com/cn/articles/practise-of-mxnet
侠天http://www.infoq.com/cn/author/%E4%BE%A0%E5%A4%A9
{mxnet} R package from MXnet, an intuitive Deep Learning framework including CNN & RNNhttp://tjo-en.hatenablog.com/entry/2016/03/30/233848
TJOhttp://tjo-en.hatenablog.com/
MXnet with R: combined power of deep learninghttp://cos.name/2016/04/mxnet-r/
Understand MXNet dependency enginehttp://yuyang0.github.io/articles/mxnet-engine.html
Yu Yanghttps://github.com/yuyang0
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#machine-learning-challenge-winning-solutions
Yelp Restaurant Photo Classificationhttps://www.kaggle.com/c/yelp-restaurant-photo-classification
the Kaggle interviewhttp://blog.kaggle.com/2016/04/28/yelp-restaurant-photo-classification-winners-interview-1st-place-dmitrii-tsybulevskii/
https://github.com/bigbear2017/deep-cpp/tree/master/python-example#tools-with-mxnet
TensorFusehttps://github.com/dementrock/tensorfuse
dementrockhttps://github.com/dementrock
MXnet-facehttps://github.com/tornadomeet/mxnet-face
tornadomeethttps://github.com/tornadomeet
MinPyhttps://github.com/dmlc/minpy
MXNet Model Serverhttps://github.com/awslabs/mxnet-model-server
ONNX-MXNethttps://github.com/onnx/onnx-mxnet
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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