MXNet Examples and Resources

This folder contains links to all the examples and resources related to MXNet. If you think you have anything belongs to here, please open a new pull request.

Langauges Bindings

• MXNet Python - Python libary
• MXNetR - R library
• MXNet.jl - Julia library
• gomxnet - Go binding
• MXNet JNI - JNI(Android) library
• MXNet Amalgamation - Amalgamation(entire library in a single file)

Examples Codes

• C++ examples - Example code for using C++ interface, including NDArray, symbolic layer and models.
• 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.
• 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.

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.

Mobile Applications

• MXNet Android Classification App - Image classification on mobile with MXNet.

Web Predictive Services

• MXNet Shinny - Source code for quickly create a Shiny R app to host online image classification.