MXNet

MXNet

The Apache Software Foundation
+
+

Related Products

  • Apify
    4.8 out of 5 stars 1,859 Ratings
    Visit Website for Apify
  • Highcharts
    4.5 out of 5 stars 122 Ratings
    Visit Website for Highcharts
  • Source Defense
    5.0 out of 5 stars 7 Ratings
    Visit Website for Source Defense
  • SurveyJS
    4.8 out of 5 stars 64 Ratings
    Visit Website for SurveyJS
  • Okyline
    5.0 out of 5 stars 2 Ratings
    Visit Website for Okyline
  • Gaffa
    5.0 out of 5 stars 5 Ratings
    Visit Website for Gaffa
  • Feroot
    4.9 out of 5 stars 33 Ratings
    Visit Website for Feroot
  • cside
    4.9 out of 5 stars 37 Ratings
    Visit Website for cside
  • RAD PDF
    5.0 out of 5 stars 3 Ratings
    Visit Website for RAD PDF
  • Google Cloud Run
    4.5 out of 5 stars 352 Ratings
    Visit Website for Google Cloud Run

About

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

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

Programmers and developers

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 Not Supported

Support

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

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version 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

JSON
Founded: 2001
www.json.org

Company Information

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

Alternatives

Alternatives

XML

XML

World Wide Web Consortium (W3C)
Caffe

Caffe

BAIR

Categories

Categories

AI Development Supported
Deep Learning Supported
Neural Network Supported

Integrations

Benerator Supported
Codesphere Supported
Composio Supported
ContentMesh Supported
Fera Supported
FlouState Supported
Go REST Supported
Hiro Game Development Supported
KitchenAI Supported
Kunena Supported
MAI-Transcribe-1 Supported
ManagePrompt Supported
Modo Supported
Onomondo Supported
PDF Dino Supported
Relianoid Supported
SpamCheckAI Supported
Website Crawler Supported
mediastack Supported
noCaptcha Ai Supported

Integrations

Benerator Not Supported
Codesphere Not Supported
Composio Not Supported
ContentMesh Not Supported
Fera Not Supported
FlouState Not Supported
Go REST Not Supported
Hiro Game Development Not Supported
KitchenAI Not Supported
Kunena Not Supported
MAI-Transcribe-1 Not Supported
ManagePrompt Not Supported
Modo Not Supported
Onomondo Not Supported
PDF Dino Not Supported
Relianoid Not Supported
SpamCheckAI Not Supported
Website Crawler Not Supported
mediastack Not Supported
noCaptcha Ai Not Supported
Claim JSON and update features and information
Claim JSON and update features and information
Claim MXNet and update features and information
Claim MXNet and update features and information