MXNET

MXNET Official Website, Apache MXNET Flexible and Efficient Deep Learning Library, An Open Source Deep Learning Framework A true open-source deep learning framework, suitable for

What is Apache MXNET?

MXNET is a flexible and efficient deep learning library A true open-source deep learning framework, suitable for flexible research, prototyping, and production.

MXNET Official Website:https://mxnet.apache.org/

Key Features&Capabilities

Hybrid Frontend

The hybrid frontend seamlessly transitions between Gluon imperative and symbolic modes for flexibility and speed.
Distributed Training

Achieved scalable distributed training and performance optimization in research and production with dual parameter servers and Horovod support.
Language Bindings

Deeply integrated into Python and supported by Scala, Julia, Clojure, Java, C++, R, and Perl.
Tools and Libraries

A thriving ecosystem of tools and libraries extends MXNET and supports use cases in computer vision, NLP, time series, and more.

Ecosystem

Explore a rich ecosystem of libraries and tools to support development. D2L.ai

An interactive deep learning book with code, mathematics, and discussions. Used by Berkeley, University of Washington, and more.
GluonCV

GluonCV is a computer vision toolkit with a rich zoo of models, ranging from object detection to pose estimation.
GluonNLP

GluonNLP provides state-of-the-art deep learning models in NLP for engineers and researchers to quickly prototype research ideas and products.
GluonTS

Gluon Time Series (GluonTS) is a Gluon toolkit for probabilistic time series modeling, focusing on deep learning-based models.