MXNet

MXNet

The Apache Software Foundation
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About

ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome. The fastest way to obtain the library in a plug-and-play way if you don't care about developing is through this link to convnet-min.js, which contains the minified library. Alternatively, you can also choose to download the latest release of the library from Github. The file you are probably most interested in is build/convnet-min.js, which contains the entire library. To use it, create a bare-bones index.html file in some folder and copy build/convnet-min.js to the same folder.

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

Audience

Developers, professionals and researchers seeking a solution for training deep learning models

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

ConvNetJS
cs.stanford.edu/people/karpathy/convnetjs/

Company Information

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

Alternatives

Alternatives

Deci

Deci

Deci AI
Caffe

Caffe

BAIR

Categories

Deep Learning Supported
Neural Network Supported

Categories

AI Development Supported
Deep Learning Supported
Neural Network Supported

Integrations

AWS Elastic Fabric Adapter (EFA) Not Supported
AWS Marketplace Not Supported
Amazon EC2 Inf1 Instances Not Supported
Amazon EC2 P4 Instances Not Supported
Amazon Elastic Inference Not Supported
Amazon SageMaker Debugger Not Supported
Amazon SageMaker Model Building Not Supported
Cameralyze Not Supported
Flower Not Supported
GPUonCLOUD Not Supported
Google Cloud Deep Learning VM Image Not Supported
Gradient Not Supported
Guild AI Not Supported
Horovod Not Supported
LeaderGPU Not Supported
MLReef Not Supported
NVIDIA Triton Inference Server Not Supported
Qwen3-Omni 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
LeaderGPU Supported
MLReef Supported
NVIDIA Triton Inference Server Supported
Qwen3-Omni Not Supported
Claim ConvNetJS and update features and information
Claim ConvNetJS and update features and information
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