网站介绍
免费开源的深度学习框架
官网公开介绍
A flexible and efficient library for deep learning.
APACHE MXNET: A FLEXIBLE AND EFFICIENT LIBRARY FOR DEEP LEARNING
A truly open source deep learning framework suitedfor flexible research prototyping and production.
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Key Features &Capabilities
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Hybrid Front-End
A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed.
Distributed Training
Scalable distributed training and performance optimization in research and production is enabled by the dual Parameter Server and Horovod support.
8 Language Bindings
Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl.
Tools & Libraries
A thriving ecosystem of tools and libraries extends MXNet and enable use-cases in computer vision, NLP, time series and more.
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Explore a rich ecosystem of libraries, tools, and more to support development.
D2L.ai An interactive deep learning book with code, math, and discussions. Used at Berkeley, University of Washington and more.
An interactive deep learning book with code, math, and discussions. Used at Berkeley, University of Washington and more.
GluonCV GluonCV is a computer vision toolkit with rich model zoo. From object detection to pose estimation.
GluonCV is a computer vision toolkit with rich model zoo. From object detection to pose estimation.
GluonNLP GluonNLP provides state-of-the-art deep learning models in NLP. For engineers and researchers to fast prototype research ideas and products.
GluonNLP provides state-of-the-art deep learning models in NLP. For engineers and researchers to fast prototype research ideas and products.
GluonTS Gluon Time Series (GluonTS) is the Gluon toolkit for probabilistic time series modeling, focusing on deep learning-based models.