https://github.com/motus/pytorch-annotated
Taking a latex glove to PyTorch internals
https://github.com/motus/pytorch-annotated
machine-learning pytorch pytorch-examples pytorch-tutorial
Last synced: about 1 month ago
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Taking a latex glove to PyTorch internals
- Host: GitHub
- URL: https://github.com/motus/pytorch-annotated
- Owner: motus
- Created: 2018-10-19T18:14:55.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-11-28T05:06:40.000Z (over 6 years ago)
- Last Synced: 2025-03-29T05:11:23.284Z (about 2 months ago)
- Topics: machine-learning, pytorch, pytorch-examples, pytorch-tutorial
- Language: Jupyter Notebook
- Size: 465 KB
- Stars: 6
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# PyTorch Annotated
This repository is a collection of python3 notebooks exploring individual components of PyTorch
framework. You can view it as a hands-on tutorial in PyTorch for someone who is already familiar
with Python and machine learning.
Our approach is inspired by a classical book,
[The Little Schemer](http://www.ccs.neu.edu/home/matthias/BTLS/index.html).
For now, there are only a few documents here:
* [MNIST example dissected](mnist/) (only the first two chapters finished)
* [Anatomy of the serialized MNIST model](load/state_dict.ipynb)
* [libtorch classes and code generation](libtorch/1_libtorch_classes.md)