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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

Use our generator to create a test script in JavaScript or CoffeeScript. Write script to set the request parameters and validate the response. Ping-API will run your test script on global servers in U.S., Japan, Germany and Singapore. Schedule testing to inspect your APIs. We will send the failure test information to you with email, Slack and HipChat. Ping-API allows you to write test script in JavaScript and CoffeeScript to test your APIs. Write script to set request url parameters, headers and body. And write script to validate response headers and body. Script generator. Don't worry about programming. Just set parameter of your API, the generator will give you test script. It is easy! The use case for web developers. Give me a notification when my web is down or the response is unexpected. Ping-API will schedule your tests in every minutes or hours. If the test is failure, we will send the notification to you.

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

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

Development teams or inviduals who want an API testing solution

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

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

$5 per month
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

Reviews/Ratings

Overall 5.0 / 5
ease 1.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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

Ping-API
ping-api.com

Company Information

PyTorch
Founded: 2016
pytorch.org

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Categories

Categories

Categories

Integrations

Amazon SageMaker Model Training
Amazon SageMaker Studio
Amazon Web Services (AWS)
Apolo
BentoML
CodeQwen
Comet LLM
Database Mart
Flyte
Giskard
Intel Tiber AI Cloud
Microsoft Azure
Modelbit
NVIDIA Triton Inference Server
Runyour AI
Simplismart
Slack
VLLM
Vertex AI Notebooks
io.net

Integrations

Amazon SageMaker Model Training
Amazon SageMaker Studio
Amazon Web Services (AWS)
Apolo
BentoML
CodeQwen
Comet LLM
Database Mart
Flyte
Giskard
Intel Tiber AI Cloud
Microsoft Azure
Modelbit
NVIDIA Triton Inference Server
Runyour AI
Simplismart
Slack
VLLM
Vertex AI Notebooks
io.net

Integrations

Amazon SageMaker Model Training
Amazon SageMaker Studio
Amazon Web Services (AWS)
Apolo
BentoML
CodeQwen
Comet LLM
Database Mart
Flyte
Giskard
Intel Tiber AI Cloud
Microsoft Azure
Modelbit
NVIDIA Triton Inference Server
Runyour AI
Simplismart
Slack
VLLM
Vertex AI Notebooks
io.net
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