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A few notebooks about deep learning in pytorch
| Date | Stars |
|---|---|
| 2026-07-31 | 602 |
| 2026-08-04 | 602 |
| 2026-08-06 | 602 |
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# Deep Learning Notebooks Here are my jupyter notebooks on deep learning. All of them are written in pytorch and most of them use the [fastai library](https://github.com/fastai/fastai). * ---- ## Tutorials * [Using the new training API in fastai](https://github.com/sgugger/Deep-Learning/blob/master/Understanding%20the%20new%20fastai%20API%20for%20scheduling%20training.ipynb). * [Building a simple neural net in pytorch](https://github.com/sgugger/Deep-Learning/blob/master/First%20neural%20net%20in%20pytorch.ipynb). * [Explore the fastai callback system](https://github.com/sgugger/Deep-Learning/blob/master/Using%20the%20callback%20system%20in%20fastai.ipynb). ---- ## Implementation of articles * [Neural cache pointer](https://github.com/sgugger/Deep-Learning/blob/master/Cache%20pointer.ipynb) introduce by [Grave et al.](https://arxiv.org/abs/1612.04426) * [Superconvergence on cifar10](https://github.com/sgugger/Deep-Learning/blob/master/Cyclical%20LR%20and%20momentums.ipynb) using the 1cycle policy introduce by [Leslie Smith](https://arxiv.org/abs/1803.09820) * [Deep painterly harmonization](https://github.com/sgugger/Deep-Learning/blob/master/DeepPainterlyHarmonization.ipynb) from [this article](https://arxiv.org/abs/1804.03189) * [Adam and weight decay](https://github.com/sgugger/Deep-Learning/tree/master/Adam%20and%20weight%20decay) for the correction preoposed in [this article](https://arxiv.org/abs/1711.05101) ---- The rest is just a bun of random stuff shared with fellow fastai students.
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Sylvain Gugger
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:4a37f69bc05975ae, llm:Description: 'A few notebooks about deep learning in pytorch' (Jupyter notebooks, educational examples).
matched fp:4a37f69bc05975ae, llm:Description: 'A few notebooks about deep learning in pytorch' (Jupyter notebooks, educational examples).