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layout: home

key_features:
- title: Hybrid Front-End
  text: A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed.
  icon: /assets/img/circuit.svg
- title: Distributed Training
  text: Scalable distributed training and performance optimization in research and production is enabled by the dual Parameter Server and Horovod support.
  icon: /assets/img/algorithm.svg
- title: 8 Language Bindings
  text: Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl.
  icon: /assets/img/programming.svg
- title: Tools & Libraries
  text: A thriving ecosystem of tools and libraries extends MXNet and enable use-cases in computer vision, NLP, time series and more.
  icon: /assets/img/chip.svg

ecosystem:
- title: D2L.ai
  text: An interactive deep learning book with code, math, and discussions. Used at Berkeley, University of Washington and more.
  icon: /assets/img/textbook.svg
  link: https://d2l.ai
- title: GluonCV
  text: GluonCV is a computer vision toolkit with rich model zoo. From object detection to pose estimation.
  icon: /assets/img/visual.svg
  link: https://gluon-cv.mxnet.io
- title: GluonNLP
  text: GluonNLP provides state-of-the-art deep learning models in NLP. For engineers and researchers to fast prototype research ideas and products.
  icon: /assets/img/artificial-intelligence.svg
  link: https://gluon-nlp.mxnet.io/
- title: GluonTS
  text: Gluon Time Series (GluonTS) is the Gluon toolkit for probabilistic time series modeling, focusing on deep learning-based models.
  icon: /assets/img/line-graph.svg
  link: https://gluon-ts.mxnet.io/


community:
- title: GitHub
  text: Report bugs, request features, discuss issues, and more.
  icon: /assets/img/octocat.png
  link: https://github.com/apache/incubator-mxnet
- title: Discuss Forum
  text: Browse and join discussions on deep learning with MXNet and Gluon.
  icon: /assets/img/mxnet_m.png
  link: https://discuss.mxnet.io/
- title: Slack
  text: Discuss advanced topics. Request access by mail dev@mxnet.apache.org
  icon: /assets/img/slack-logo-icon.svg
  link: mailto:dev@mxnet.apache.org

---