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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

​MindSpore is an open source deep learning framework developed by Huawei, designed to facilitate easy development, efficient execution, and deployment across cloud, edge, and device environments. It supports multiple programming paradigms, including both object-oriented and functional programming, allowing users to define AI networks using native Python syntax. MindSpore offers a unified programming experience that seamlessly integrates dynamic and static graphs, enhancing compatibility and performance. It is optimized for various hardware platforms, including CPUs, GPUs, and NPUs, and is particularly well-suited for Huawei's Ascend AI processors. MindSpore's architecture comprises four layers, the model layer, MindExpression (ME) for AI model development, MindCompiler for optimization, and the runtime layer supporting device-edge-cloud collaboration. Additionally, MindSpore provides a rich ecosystem of domain-specific toolkits and extension packages, such as MindSpore NLP.

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

Data scientists, AI researchers, and developers in need of a tool for building and deploying AI models across various platforms and devices

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

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

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

MindSpore
Founded: 2019
China
www.mindspore.cn/

Alternatives

Alternatives

Apache Mahout

Apache Mahout

Apache Software Foundation
Caffe

Caffe

BAIR
DeepSpeed

DeepSpeed

Microsoft
Apache Groovy

Apache Groovy

The Apache Software Foundation
OEMad

OEMad

OEMad.ai
Gensim

Gensim

Radim Řehůřek

Categories

Categories

Integrations

Python
AWS EC2 Trn3 Instances
Ascend Cloud Service
Docker
Equinox
Flower
Gemma 3n
Grain
Huawei Cloud
Huawei Cloud ModelArts
Hugging Face
IREN Cloud
Keras
LiteRT
NumPy
TensorFlow

Integrations

Python
AWS EC2 Trn3 Instances
Ascend Cloud Service
Docker
Equinox
Flower
Gemma 3n
Grain
Huawei Cloud
Huawei Cloud ModelArts
Hugging Face
IREN Cloud
Keras
LiteRT
NumPy
TensorFlow
Claim JAX and update features and information
Claim JAX and update features and information
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