tensorlayer/TensorLayerX
A unified deep learning framework that abstracts over TensorFlow, PyTorch, MindSpore, PaddlePaddle, OneFlow, and Jittor backends.

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TensorLayerX is a multi-backend AI framework that provides a unified API for deep learning and reinforcement learning across different ML libraries and hardware platforms. It allows developers to write code once and run it on different backends like TensorFlow, PyTorch, MindSpore, PaddlePaddle, OneFlow, and Jittor, targeting hardware including Nvidia GPUs, Huawei Ascend, and Cambricon accelerators.
Frequently asked
- What is tensorlayer/TensorLayerX?
- A unified deep learning framework that abstracts over TensorFlow, PyTorch, MindSpore, PaddlePaddle, OneFlow, and Jittor backends.
- Is TensorLayerX open source?
- Yes — tensorlayer/TensorLayerX is an open-source project tracked on heatdrop.
- What language is TensorLayerX written in?
- tensorlayer/TensorLayerX is primarily written in Python.
- How popular is TensorLayerX?
- tensorlayer/TensorLayerX has 530 stars on GitHub.
- Where can I find TensorLayerX?
- tensorlayer/TensorLayerX is on GitHub at https://github.com/tensorlayer/TensorLayerX.