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ABOUT.md

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# About this project
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Most PyTorch learning resources are either out-of-date, confusing (why so many [official tutorials](https://pytorch.org/tutorials/)?) or unnecessarily complicated.
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In my opinion, the best resource from learning PyTorch from scratch was the [PyTorch Tutorial](https://github.com/yunjey/pytorch-tutorial) by [Yunjey Choi](https://yunjey.github.io/). Unfortunately, it has been unmaintained for years.
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This project aims to follow a similar path by providing a set of bare-bones, self-sufficient, and beginner-friendly examples. They illustrate the core parts of PyTorch in a step-by-step fashion, from tensor manipulation to the training of Deep Learning models. They strive to keep up with API changes and follow good practices.
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Rather than Jupyter notebooks, these examples are provided as pure Python files because I think it facilitates a global understanding of their structure. It also simplifies [code formatting](https://github.com/psf/black), [linting](https://github.com/pylint-dev/pylint) and [testing](https://docs.pytest.org).
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You are very welcome to contribute to the improvement of this project through [ideas](https://github.com/bpesquet/pytorch-tutorial/issues) or [corrections](https://github.com/bpesquet/pytorch-tutorial/pulls).
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Happy PyTorch learning :)

README.md

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# PyTorch Tutorial
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# (Yet Another) PyTorch Tutorial
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This repository provides concise and annotated examples for learning [PyTorch](https://pytorch.org).
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This repository provides concise and annotated examples for learning the basics of [PyTorch](https://pytorch.org).
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> Adapted from the great but seemingly unmaintained [PyTorch Tutorial](https://github.com/yunjey/pytorch-tutorial) by [Yunjey Choi](https://yunjey.github.io/).
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> [About this project](ABOUT.md)
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## Table of Contents
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