Kaixhin/grokking-pytorch
A guide/tutorial explaining how to think about and use the PyTorch deep learning framework.
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This repository contains educational notes on using PyTorch, a flexible deep learning framework that supports automatic differentiation through dynamic neural networks. The guide covers topics like GPU acceleration, distributed training, and neural network concepts including computation graphs. It is presented as a follow-up to the official PyTorch beginner tutorials.
Frequently asked
- What is Kaixhin/grokking-pytorch?
- A guide/tutorial explaining how to think about and use the PyTorch deep learning framework.
- Is grokking-pytorch open source?
- Yes — Kaixhin/grokking-pytorch is open source, released under the MIT license.
- How popular is grokking-pytorch?
- Kaixhin/grokking-pytorch has 1.2k stars on GitHub.
- Where can I find grokking-pytorch?
- Kaixhin/grokking-pytorch is on GitHub at https://github.com/Kaixhin/grokking-pytorch.