MXNet

MXNet

The Apache Software Foundation
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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.

About

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

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

Platforms Supported

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

Audience

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

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

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 Not 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 Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

PyTorch
Founded: 2016
pytorch.org

Alternatives

Alternatives

Core ML

Core ML

Apple
Create ML

Create ML

Apple
DeepSpeed

DeepSpeed

Microsoft
Caffe

Caffe

BAIR
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

AI Development Supported
Deep Learning Supported
Neural Network Supported

Categories

AI Development Supported
Machine Learning Supported
Neural Network Supported

Integrations

AWS Elastic Fabric Adapter (EFA) Supported
AWS Marketplace Supported
Amazon EC2 Inf1 Instances Supported
Amazon EC2 P4 Instances Supported
Amazon Elastic Inference Supported
Amazon SageMaker Debugger Supported
Amazon SageMaker Model Building Supported
Cameralyze Supported
Flower Supported
GPUonCLOUD Supported
Google Cloud Deep Learning VM Image Supported
Gradient Supported
Guild AI Supported
Horovod Supported
MLReef Supported
NVIDIA Triton Inference Server Supported
Amazon SageMaker Unified Studio Not Supported
Azure Marketplace Not Supported
Lightly Not Supported

Integrations

AWS Elastic Fabric Adapter (EFA) Supported
AWS Marketplace Supported
Amazon EC2 Inf1 Instances Supported
Amazon EC2 P4 Instances Supported
Amazon Elastic Inference Supported
Amazon SageMaker Debugger Supported
Amazon SageMaker Model Building Supported
Cameralyze Supported
Flower Supported
GPUonCLOUD Supported
Google Cloud Deep Learning VM Image Supported
Gradient Supported
Guild AI Supported
Horovod Supported
MLReef Supported
NVIDIA Triton Inference Server Supported
Amazon SageMaker Unified Studio Supported
Azure Marketplace Supported
Lightly Supported
Claim MXNet and update features and information
Claim MXNet and update features and information
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Claim PyTorch and update features and information