Software frameworks for building, training and deploying deep neural networks. PyTorch, Apache MXNet, Chainer, MindSpore and the Microsoft Cognitive Toolkit each provide the tensor operations and automatic differentiation that training requires, and run the resulting models on processors and accelerators. PyTorch was originally developed by Meta Platforms, Chainer is written purely in Python, MindSpore was developed by Huawei, and the Microsoft Cognitive Toolkit, also known as CNTK, is now deprecated.
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Wikipedia: PyTorch
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PyTorch is an open-source deep learning library, originally developed by Meta Platforms and currently developed with support from the Linux Foundation.
Apache MXNet (Wikipedia)
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Apache MXNet is an open-source deep learning software framework that trains and deploys deep neural networks.
Chainer (Wikipedia)
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Chainer is an open source deep learning framework written purely in Python on top of NumPy and CuPy Python libraries.
MindSpore (Wikipedia)
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MindSpore is an open-source software framework for deep learning, machine learning and artificial intelligence developed by Huawei.
Microsoft Cognitive Toolkit (Wikipedia)
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Microsoft Cognitive Toolkit, previously known as CNTK and sometimes styled as The Microsoft Cognitive Toolkit, is a deprecated deep learning framework developed by Microsoft Research.
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