d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Explore deep learning concepts through code examples adapted from a popular educational book.
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Free · no card · unsubscribe anytimeThis project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
d2l-pytorch has 4.4k stars on GitHub. It has been forked 1.2k times. d2l-pytorch is written mainly in Jupyter Notebook. It has been in active development since 2019. d2l-pytorch is available under the Apache-2.0 license. Its main topics are book, computer-vision, d2l, data-science.
What is d2l-pytorch?
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Is d2l-pytorch open source?
d2l-pytorch is an open-source project. It is released under the Apache-2.0 license.
Is d2l-pytorch free?
Yes. d2l-pytorch is free and open source — you can use, modify and self-host it.
What license does d2l-pytorch use?
d2l-pytorch is available under the Apache-2.0 license.
What language is d2l-pytorch written in?
d2l-pytorch is written mainly in Jupyter Notebook.
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