tree: fb55f2a8c34a3961f5dc72a1ac8d3029e8b2f769 [path history] [tgz]
  1. MXNetTutorialTemplate.ipynb
  3. adversary/
  4. autoencoder/
  5. bayesian-methods/
  6. bi-lstm-sort/
  7. caffe/
  8. captcha/
  9. cnn_text_classification/
  10. ctc/
  11. dec/
  12. dsd/
  13. fcn-xs/
  14. gan/
  15. gluon/
  16. image-classification/
  17. kaggle-ndsb1/
  18. kaggle-ndsb2/
  19. memcost/
  20. model-parallel-lstm/
  21. module/
  22. multi-task/
  23. nce-loss/
  24. neural-style/
  25. notebooks/
  26. numpy-ops/
  27. profiler/
  28. python-howto/
  29. rcnn/
  30. recommenders/
  31. reinforcement-learning/
  32. rnn-time-major/
  33. rnn/
  34. speech-demo/
  35. speech_recognition/
  36. ssd/
  37. stochastic-depth/
  38. svm_mnist/
  39. torch/
  40. utils/
  41. warpctc/

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. To get started, download the tutorial template.

List of examples

Languages Binding Examples

Deep Learning Examples

IPython Notebooks

Mobile App Examples

Web Predictive Services

  • 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.

List of tutorials

GPU Technology Conference 2016 Hands-on session

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

Kaggle tutorials

Learning Note

Machine Learning Challenge Winning Solutions

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