MXNet vs. Racket Comparison


MXNet The Apache Software Foundation	Racket Racket Language	+	+
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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 Racket is a general-purpose, multi-paradigm programming language that serves as a modern dialect of Lisp and a descendant of Scheme. It is designed as a platform for programming language design and implementation, enabling developers to create new domain-specific and general-purpose languages. Racket's core language includes features such as macros, modules, lexical closures, tail calls, delimited continuations, parameters (fluid variables), software contracts, green threads, and OS threads. The language also comes with primitives, such as event spaces and custodians, which control resource management and enable the language to act like an operating system for loading and managing other programs. Further extensions to the language are created with the powerful macro system, which, together with the module system and custom parsers, can control all aspects of a language. Most language constructs in Racket are implemented as macros in the base language.
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 Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers and researchers requiring an open-source deep learning framework for research prototyping and production	Audience Programmers and educators looking for a programming language to improve scripting and computer science education
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 View more images or videos	Screenshots and Videos View more images or 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 The Apache Software Foundation Founded: 1999 United States mxnet.apache.org	Company Information Racket Language United States racket-lang.org
Alternatives Deeplearning4j	Alternatives Common Lisp
Horovod	Clojure
AWS Deep Learning AMIs Amazon	Ring
Apache NuttX Apache	Oxygene RemObjects Software
Caffe BAIR View All	Zig Zig Software Foundation View All
Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported	Categories Programming Languages Supported

Integrations AWS Elastic Fabric Adapter (EFA) Supported AWS Marketplace Supported Amazon EC2 Inf1 Instances Supported Amazon Elastic Inference Supported Amazon SageMaker Debugger Supported Cameralyze Supported Common Lisp Not Supported Emacs Not Supported GPUonCLOUD Supported Geany Not Supported Google Cloud Deep Learning VM Image Supported Horovod Supported Jupyter Notebook Not Supported Kate Not Supported MLReef Supported Neovim Not Supported Scheme Not Supported Sublime Text Not Supported Vim Not Supported Visual Studio Code Not Supported Show More Integrations View All 18 Integrations	Integrations AWS Elastic Fabric Adapter (EFA) Not Supported AWS Marketplace Not Supported Amazon EC2 Inf1 Instances Not Supported Amazon Elastic Inference Not Supported Amazon SageMaker Debugger Not Supported Cameralyze Not Supported Common Lisp Supported Emacs Supported GPUonCLOUD Not Supported Geany Supported Google Cloud Deep Learning VM Image Not Supported Horovod Not Supported Jupyter Notebook Supported Kate Supported MLReef Not Supported Neovim Supported Scheme Supported Sublime Text Supported Vim Supported Visual Studio Code Supported Show More Integrations View All 17 Integrations
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