#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.
If you want to contribute to this list and the examples, please open a new pull request.
##List of examples
- C++ examples - Example code for using C++ interface, including NDArray, symbolic layer and models.
- 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)
- 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.
- 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
- 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 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] (http://rupeshs.github.io/machineye/)- 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)
- 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.