README.md

#Awesome MXNet

This page contains a curated list of awesome MXnet examples, tutorials and blogs. It is inspired by awesome-php and awesome-machine-learning.

• Contributing
• List of examples
  • Languages Binding Examples
  • Deep Learning Examples
  • IPython Notebooks
  • Mobile App Examples
  • Web Predictive Services
• List of tutorials
  • GPU Technology Conference 2016 Hands-on session
  • Deep learning for hackers with MXnet
  • MXnet setup on AWS
  • Kaggle tutorials
  • Learning Note
• Machine Learning Challenge Winning Solutions
• Tools with MXnet

Contributing

If you want to contribute to this list and the examples, please open a new pull request.

##List of examples

###Languages Binding Examples

• C++ examples - Example code for using C++ interface, including NDArray, symbolic layer and models.
• MXNet Python - Python library
• MXNetR - R library
• MXNet.jl - Julia library
• gomxnet - Go binding
• MXNet JNI - JNI(Android) library
• MXNet Amalgamation - Amalgamation (entire library in a single file)
• MXNet Javascript - MXNetJS: Javascript Package for Deep Learning in Browser (without server)

###Deep Learning Examples

• Image classification - Image classification on MNIST,CIFAR,ImageNet-1k,ImageNet-Full, with multiple GPU and distributed training.
• Recurrent Neural Net - LSTM and RNN for language modeling and character level generation (Char-RNN).
• Autoencoder - Auto encoder training.
• Numpy Operator Customization - Example on quick customize new ops with numpy.
• Adversary Sample Generation - Find adversary sample by using fast sign method.
• Neural Art - Generate artistic style images.
• DQN and Double DQN - Examples of training DQN and Double DQN to play Atari Games.
• DDPG - Example of training DDPG for CartPole.
• Kaggle 1st national data science bowl - a MXnet example for Kaggle Nation Data Science Bowl 1
• Kaggle 2nd national data science bowl - a tutorial for Kaggle Second Nation Data Science Bowl
• CNN for Text Classification - a MXnet example for text classification
• Chinese plate recognition - Recognize Chinese vehicle plate, by imistyrain
• Fast R-CNN by Jian Guo
• "End2End Captcha Recognition (OCR)" by xlvector github link Blog in Chinese
• "Prediction step of xlvector's lstm ocr" by melody-rain github link Blog in Chinese
• "Solving classificiation + regression with MXnet in Multi Input + Multi Obj" by xlvector github link Blog in Chinese
• "Learn to sort by LSTM" by xlvector github link Blog in Chinese
• Neural Art using extremely lightweight (<500K) neural network Lightweight version of mxnet neural art implementation by Pavel Gonchar
• Neural Art with generative networks by zhaw
• Faster R-CNN in MXNet with distributed implementation and data parallelization
• Asynchronous Methods for Deep Reinforcement Learning in MXNet by zmonoid
• Deep Q-learning in MXNet by zmonoid
• Face Detection with End-to-End Integration of a ConvNet and a 3D Model (ECCV16) by tfwu, source code for paper Yunzhu Li, Benyuan Sun, Tianfu Wu and Yizhou Wang, "Face Detection with End-to-End Integration of a ConvNet and a 3D Model", ECCV 2016 https://arxiv.org/abs/1606.00850
• End-to-End Chinese plate recognition base on MXNet by szad670401
• Reproduce ResNet-v2 (Identity Mappings in Deep Residual Networks) using MXNet by tornadomeet
• Learning similarity among images in MXNet by xlvector in Chinese. Github link
• Matrix decomposition (SVD) with MXNet by xlvector in Chinese. Github link
• MultiGPU enabled image generative models (GAN and DCGAN) by Tianqi Chen
• Baidu Warp CTC with Mxnet by xlvector
• Deep reinforcement learning for playing flappybird by mxnet by LIHaoran
• Neural Style in Markov Random Field (MRF) and Perceptual Losses Realtime transfer by zhaw
• MTCNN Face keypoints detection and alignment (github) in Chinese by pangyupo
• SSD: Single Shot MultiBox Object Detector by zhreshold
• Fast Neural Style in Scala by Ldpe2G
• LSTM Human Activity Recognition by Ldpe2G
• Visual Question Answering by liuzhi136

###IPython Notebooks

• Predict with Pre-trained model - Notebook on how to predict with pretrained model.
• composite symbol - A demo of how to composite a symbolic Inception-BatchNorm Network
• cifar-10 recipe - A step by step demo of how to use MXNet
• cifar-100 - A demo of how to train a 75.68% accuracy CIFAR-100 model
• simple bind - A demo of low level training API.
• Multi task tutorial - A demo of how to train and predict multi-task network on both MNIST and your own dataset.
• class active maps - A demo of how to localize the discriminative regions in an image using global average pooling (GAP) in CNNs.
• DMLC MXNet Notebooks DMLC's repo for various notebooks ranging from basic usages of MXNet to state-of-the-art deep learning applications.

###Mobile App Examples

• MXNet Android Classification App - Image classification on Android with MXNet.
• MXNet iOS Classification App - Image classification on iOS with MXNet.
• Compile MXnet on Xcode (in Chinese) - a step-by-step tutorial of compiling MXnet on Xcode for iOS app

###Web Predictive Services

• MXNet Shinny - Source code for quickly creating a Shiny R app to host online image classification.
• [Machine Eye] (http://rupeshs.github.io/machineye/) - Web service for local image file/image URL classification without uploading.

##List of tutorials

###GPU Technology Conference 2016 Hands-on session

• [Video on GTC 2016 site] (http://on-demand.gputechconf.com/gtc/2016/video/L6143.html)
• Video backup in Mainland China
• iPython Notebook

###Deep learning for hackers with MXNet

• Deep learning for hackers with MXNet (1) GPU installation and MNIST English Chinese - a tutorial of installing MXnet with GPU and introduction to deep learning by MNIST example.
• Deep learning for hackers with MXNet (2): Neural art English Chinese - a tutorial of generating Van Gogh style cat paintings.

MXNet on the cloud

• Setup Amazon AWS GPU instance with MXnet - AWS GPU instance setup with GPU (CUDA with latest cuDNN and S3 support)
• Intro Guide to AWS (MXNet with Julia) - A step-by-step guide of using spot instances with Amazon Web Services (AWS) to help you save money when training DSB models on MXNet by Mike Kim
• Building Deep Neural Networks in the Cloud with Azure GPU VMs, MXNet and Microsoft R Server by Cortana Intelligence and ML Blog Team at Microsoft
• Applying Deep Learning at Cloud Scale, with Microsoft R Server & Azure Data Lake by Cortana Intelligence and ML Blog Team at Microsoft
• Training Deep Neural Neural Networks on ImageNet Using Microsoft R Server and Azure GPU VMs by Cortana Intelligence and ML Blog Team at Microsoft
• Distributed Deep Learning Made Easy at AWS/Amazon for deploying deep learning clusters using MXNet

Kaggle tutorials

• Kaggle 2nd Annual Data Science Bowl End-to-End Deep Learning Tutorial (Python) - an end-to-end python tutorial for Kaggle heart disease diagnose competition (public leaderboard score 0.0392)
• Kaggle 2nd Annual Data Science Bowl End-to-End Deep Learning Tutorial (R) - an end-to-end R tutorial for Kaggle heart disease diagnose competition

Learning Note

• Learning Note in Chinese - Mxnet learning note in Chinese.
• Getting Started with MXNet by indico.io (Chinese Translation MXnet实践 by 侠天 )
• [{mxnet} R package from MXnet, an intuitive Deep Learning framework including CNN & RNN] (http://tjo-en.hatenablog.com/entry/2016/03/30/233848) by TJO
• MXnet with R: combined power of deep learning in Chinese by Tong He
• Understand MXNet dependency engine in Chinese by Yu Yang

Machine Learning Challenge Winning Solutions

• Dmitrii Tsybulevskii, 1st place of the Yelp Restaurant Photo Classification. Link to the Kaggle interview.

Tools with MXnet

• TensorFuse - Common interface for Theano, CGT, TensorFlow, and mxnet (experimental) by dementrock
• MXnet-face - Using mxnet for face-related algorithm by tornadomeet where the single model get 97.13%+-0.88% accuracy on LFW, and with only 20MB size.
• MinPy - Pure numpy practice with third party operator Integration and MXnet as backend for GPU computing