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Dive-into-DL-PyTorch
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Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

by ShusenTang · GitHub
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computer-visiond2ldeep-learningApache-2.0Jupyter Notebook
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In plain words

Run deep learning tutorials and examples using PyTorch instead of MXNet.

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Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.

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2026-06-282026-08-31
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📄 About

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Dive-into-DL-PyTorch has 19.4k stars on GitHub. It has been forked 5.4k times. Dive-into-DL-PyTorch is written mainly in Jupyter Notebook. It has been in active development since 2019. Dive-into-DL-PyTorch is available under the Apache-2.0 license. Its main topics are computer-vision, d2l, deep-learning, deep-learning-tutorial.

Frequently asked questions

What is Dive-into-DL-PyTorch?

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Is Dive-into-DL-PyTorch open source?

Dive-into-DL-PyTorch is an open-source project. It is released under the Apache-2.0 license.

Is Dive-into-DL-PyTorch free?

Yes. Dive-into-DL-PyTorch is free and open source — you can use, modify and self-host it.

What license does Dive-into-DL-PyTorch use?

Dive-into-DL-PyTorch is available under the Apache-2.0 license.

What language is Dive-into-DL-PyTorch written in?

Dive-into-DL-PyTorch is written mainly in Jupyter Notebook.

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