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d2l-pytorch
dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
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Jupyter Notebook
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A , built with Jupyter Notebook open-source project in the Learning & Resources category, core strengths: book/computer-vision
Who made it?Maintained by dsgiitr team, 4.4K⭐ on GitHub, #504 out of 3640 in Learning & Resources
Why does it exist?As the Learning & Resources landscape evolved, the dsgiitr team identified the need for better book solutions. d2l-pytorch was created to simplify computer-vision workflows.
What can it do?Key use cases: d2l, data-science, deep-learning
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/dsgiitr/d2l-pytorch
🔗 github.com/dsgiitr/d2l-pytorch
Topics
bookcomputer-visiond2ldata-sciencedeep-learningdive-into-deep-learningmxnetnlppytorchpytorch-implmention