Related Products
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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.
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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.
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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
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Professional researchers and developers searching for a solution to manage their numerical computing and machine learning operations in Python
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Audience
Data scientists, AI researchers, and developers in need of a tool for building and deploying AI models across various platforms and devices
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Company InformationJAX
United States
docs.jax.dev/en/latest/
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Company InformationMindSpore
Founded: 2019
China
www.mindspore.cn/
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Categories |
Categories |
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Integrations
Python
Supported
AWS EC2 Trn3 Instances
Supported
Ascend Cloud Service
Not Supported
Docker
Not Supported
Equinox
Supported
Flower
Supported
Gemma 3n
Supported
Grain
Supported
Huawei Cloud
Not Supported
Huawei Cloud ModelArts
Not Supported
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Integrations
Python
Supported
AWS EC2 Trn3 Instances
Not Supported
Ascend Cloud Service
Supported
Docker
Supported
Equinox
Not Supported
Flower
Not Supported
Gemma 3n
Not Supported
Grain
Not Supported
Huawei Cloud
Supported
Huawei Cloud ModelArts
Supported
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