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MindSpore

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Huawei's open-source deep-learning framework for training and deploying AI across cloud, edge and device.

What it does

MindSpore is an open-source, all-scenario deep-learning framework developed by Huawei. It supports model development, training and deployment across cloud, edge and device environments, with automatic differentiation, distributed parallel training and optimization for Huawei Ascend AI processors as well as CPUs and GPUs. It has an active open-source community and model zoo.

How to use: To use 昇思MindSpore, you can install it via Pip, Conda, Source, or Docker. The website provides installation guides and tutorials for learning the framework. You can explore various modules, toolkits, and model zoos for different AI tasks. The community offers forums and Gitee for support and collaboration.

Core features

All-scenario (cloud/edge/device) deep learning
Automatic differentiation
Distributed parallel training
Optimized for Ascend AI hardware
Open-source community and model zoo

Best for

→Training deep-learning models
→Deploying AI to edge and devices
→Research on Ascend hardware
→Building computer-vision and NLP models
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