+
+

Related Products

  • RunPod
    206 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    961 Ratings
    Visit Website
  • Cloudflare
    2,002 Ratings
    Visit Website
  • Bright Data
    1,360 Ratings
    Visit Website
  • Google Compute Engine
    1,168 Ratings
    Visit Website
  • Datasite Diligence Virtual Data Room
    635 Ratings
    Visit Website
  • Teradata VantageCloud
    1,107 Ratings
    Visit Website
  • Bitrise
    396 Ratings
    Visit Website
  • ClickLearn
    67 Ratings
    Visit Website
  • Wiz
    1,452 Ratings
    Visit Website

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.

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
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

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

Company Information

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

Company Information

PyTorch
Founded: 2016
pytorch.org

Alternatives

Apache Mahout

Apache Mahout

Apache Software Foundation

Alternatives

Core ML

Core ML

Apple
DeepSpeed

DeepSpeed

Microsoft
Create ML

Create ML

Apple
DeepSpeed

DeepSpeed

Microsoft
Gensim

Gensim

Radim Řehůřek
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

Categories

Integrations

AWS EC2 Trn3 Instances
Flower
Gemma 3n
IREN Cloud
LiteRT
Thunder Compute
Amazon EC2 G5 Instances
Amazon Elastic Inference
Amazon SageMaker Debugger
Comet LLM
Daft
Database Mart
Fuzzball
HStreamDB
Lightning AI
MLReef
NVIDIA FLARE
Superwise
Voxel51
Zepl

Integrations

AWS EC2 Trn3 Instances
Flower
Gemma 3n
IREN Cloud
LiteRT
Thunder Compute
Amazon EC2 G5 Instances
Amazon Elastic Inference
Amazon SageMaker Debugger
Comet LLM
Daft
Database Mart
Fuzzball
HStreamDB
Lightning AI
MLReef
NVIDIA FLARE
Superwise
Voxel51
Zepl
Claim JAX and update features and information
Claim JAX and update features and information
Claim PyTorch and update features and information
Claim PyTorch and update features and information