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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

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.

About

TypeScript adds additional syntax to JavaScript to support a tighter integration with your editor. Catch errors early in your editor. TypeScript code converts to JavaScript, which runs anywhere JavaScript runs: In a browser, on Node.js or Deno and in your apps. TypeScript understands JavaScript and uses type inference to give you great tooling without additional code. TypeScript was used by 78% of the 2020 State of JS respondents, with 93% saying they would use it again. The most common kinds of errors that programmers write can be described as type errors: a certain kind of value was used where a different kind of value was expected. This could be due to simple typos, a failure to understand the API surface of a library, incorrect assumptions about runtime behavior, or other errors.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

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

Audience

DevOps teams in need of a typed Programming Language that builds on JavaScript

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

PyTorch
Founded: 2016
pytorch.org

Company Information

TypeScript
www.typescriptlang.org

Alternatives

Alternatives

Alternatives

AssemblyScript

AssemblyScript

The AssemblyScript Project
Apache Mahout

Apache Mahout

Apache Software Foundation
Core ML

Core ML

Apple
DeepSpeed

DeepSpeed

Microsoft
Create ML

Create ML

Apple
Dart

Dart

Dart Language
DeepSpeed

DeepSpeed

Microsoft
Gensim

Gensim

Radim Řehůřek
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

Categories

Integrations

Alibaba Cloud
BlockNote
Boilerbay
Claude Sonnet 4.5
Grok 4.1
Intel Tiber AI Cloud
Jtest
Kiro
LanceDB
MarsCode
OpenAI o1-mini
Orkes
ReSharper
ScrapeGraphAI
Srcbook
Superwise
TensorFlow
ZippyStarter
{CodeStore}

Integrations

Alibaba Cloud
BlockNote
Boilerbay
Claude Sonnet 4.5
Grok 4.1
Intel Tiber AI Cloud
Jtest
Kiro
LanceDB
MarsCode
OpenAI o1-mini
Orkes
ReSharper
ScrapeGraphAI
Srcbook
Superwise
TensorFlow
ZippyStarter
{CodeStore}

Integrations

Alibaba Cloud
BlockNote
Boilerbay
Claude Sonnet 4.5
Grok 4.1
Intel Tiber AI Cloud
Jtest
Kiro
LanceDB
MarsCode
OpenAI o1-mini
Orkes
ReSharper
ScrapeGraphAI
Srcbook
Superwise
TensorFlow
ZippyStarter
{CodeStore}
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