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
- List of tutorials
- Machine Learning Challenge Winning Solutions
- Tools with MXnet
If you want to contribute to this list and the examples, please open a new pull request. To get started, download the tutorial template.
- 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
- go-mxnet-predictor - Go binding for inference
- gomxnet - Go binding [Outdated]
- 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)
- 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 classification + 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
- Deformable ConvNets (github) by MSRACVer
- 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.
- AWS Seoul Summit 2017 Demos The demo codes and ipython notebooks in AWS Seoul Summit 2017.
- 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
- MXNet Shinny - Source code for quickly creating a Shiny R app to host online image classification.
- Machine Eye - Web service for local image file/image URL classification without uploading.
- 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.
- 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
- Cloud-Scale Text Classification with Convolutional Neural Networks on Microsoft Azure 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 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
- Dogs vs. Cats classification with mxnet and R - end-to-end (not winning) tutorial with an example of fine-tuning in R
- 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 by TJO
- MXnet with R: combined power of deep learning in Chinese by Tong He
- Understand MXNet dependency engine in Chinese by Yu Yang
- Dmitrii Tsybulevskii, 1st place of the Yelp Restaurant Photo Classification. Link to the Kaggle interview.
- 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