MXNet

MXNet

The Apache Software Foundation
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About

​JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs. These capabilities enable efficient computation for complex mathematical functions and large-scale machine-learning models. JAX also integrates with various libraries within its ecosystem, such as Flax for neural networks and Optax for optimization tasks. Comprehensive documentation, including tutorials and user guides, is available to assist users in leveraging JAX's full potential. ​

About

A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and more. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. Join the MXNet scientific community to contribute, learn, and get answers to your questions.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Professional researchers and developers searching for a solution to manage their numerical computing and machine learning operations in Python

Audience

Developers and researchers requiring an open-source deep learning framework for research prototyping and production

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

JAX
United States
docs.jax.dev/en/latest/

Company Information

The Apache Software Foundation
Founded: 1999
United States
mxnet.apache.org

Alternatives

Alternatives

Apache Mahout

Apache Mahout

Apache Software Foundation
DeepSpeed

DeepSpeed

Microsoft
Gensim

Gensim

Radim Řehůřek
Caffe

Caffe

BAIR

Categories

Categories

AI Development Supported
Deep Learning Supported
Neural Network Supported

Integrations

Flower Supported
AWS EC2 Trn3 Instances Supported
AWS Marketplace Not Supported
Amazon EC2 Inf1 Instances Not Supported
Amazon EC2 P4 Instances Not Supported
Amazon Elastic Inference Not Supported
Amazon SageMaker Model Building Not Supported
Cameralyze Not Supported
Google Cloud Deep Learning VM Image Not Supported
Gradient Not Supported
Grain Supported
Guild AI Not Supported
Hugging Face Supported
IREN Cloud Supported
LiteRT Supported
MLReef Not Supported
NVIDIA Triton Inference Server Not Supported
NumPy Supported
Python Supported
TensorFlow Supported

Integrations

Flower Supported
AWS EC2 Trn3 Instances Not Supported
AWS Marketplace Supported
Amazon EC2 Inf1 Instances Supported
Amazon EC2 P4 Instances Supported
Amazon Elastic Inference Supported
Amazon SageMaker Model Building Supported
Cameralyze Supported
Google Cloud Deep Learning VM Image Supported
Gradient Supported
Grain Not Supported
Guild AI Supported
Hugging Face Not Supported
IREN Cloud Not Supported
LiteRT Not Supported
MLReef Supported
NVIDIA Triton Inference Server Supported
NumPy Not Supported
Python Not Supported
TensorFlow Not Supported
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