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Apache MXNet Examples

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  1. 994235c add readme and toolkits (#1) by Sheng Zha · 4 years, 4 months ago master
  2. 9ab4e61 set github features by Sheng Zha · 4 years, 4 months ago

Apache MXNet (Incubating) Examples

This page contains a curated list of awesome Apache MXNet examples, tutorials and blogs. It is inspired by awesome-php and awesome-machine-learning. See also Awesome-MXNet for a similar list.

If you are new to MXNet, please check out the Gluon 60-minute crash course. Also, D2L.ai offers great materials on deep learning with interactive jupyter notebooks in MXNet, math formula, and a dedicated forum for discussions.

Contributing

If you want to contribute to this list and the examples, please open a new pull request.

Tools with MXNet

  • GluonCV - GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy to understand implementations and community support.
  • GluonNLP - GluonNLP provides implementations of the state-of-the-art (SOTA) deep learning models in NLP, and build blocks for text data pipelines and models. It is designed for engineers, researchers, and students to fast prototype research ideas and products based on these models.
  • GluonTS - the Gluon toolkit for probabilistic time series modeling, focusing on deep learning-based models.
  • AutoGluon - AutoGluon enables easy-to-use and easy-to-extend AutoML with a focus on deep learning and real-world applications spanning image, text, or tabular data. Intended for both ML beginners and experts
  • InsightFace - InsightFace provides implementations of state-of-the-art (SOTA) face analysis algorithms in computer vision.
  • Sockeye - a sequence-to-sequence framework for Neural Machine Translation based on Apache MXNet. It implements state-of-the-art encoder-decoder architectures.
  • Optuna - An open source hyperparameter optimization framework to automate hyperparameter search.
  • Tensorly - Simple and fast Tensor Learning in Python.
  • GluonFace - Gluon Face is a toolkit based on MXNet Gluon, provides SOTA deep learning algorithm and models in face recognition.
  • Apache TVM (incubating) - an open deep learning compiler stack for CPUs, GPUs, and specialized accelerators. It aims to close the gap between the productivity-focused deep learning frameworks, and the performance- or efficiency-oriented hardware backends.