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.
- 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)
- 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
- 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.
- MXNet Android Classification App - Image classification on mobile with MXNet.
- MXNet Shinny - Source code for quickly create a Shiny R app to host online image classification.