https://github.com/bpesquet/pytorch-tutorial

Concise and annotated examples for learning the basics of PyTorch
https://github.com/bpesquet/pytorch-tutorial

pytorch tutorial

Last synced: 10 months ago
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Concise and annotated examples for learning the basics of PyTorch

• Host: GitHub
• URL: https://github.com/bpesquet/pytorch-tutorial
• Owner: bpesquet
• License: other
• Created: 2025-01-06T15:31:08.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-14T13:33:48.000Z (10 months ago)
• Last Synced: 2025-04-14T14:49:44.109Z (10 months ago)
• Topics: pytorch, tutorial
• Language: Python
• Homepage:
• Size: 809 KB
• Stars: 0
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# (Yet another) PyTorch Tutorial

![Dynamic TOML Badge: Python](https://img.shields.io/badge/dynamic/toml?url=https%3A%2F%2Fraw.githubusercontent.com%2Fbpesquet%2Fpytorch-tutorial%2Frefs%2Fheads%2Fmain%2Fpyproject.toml&query=%24.tool.poetry.dependencies.python&logo=python&logoColor=white&logoSize=auto&label=Python&labelColor=%233776AB&color=black)

![Dynamic TOML Badge: PyTorch](https://img.shields.io/badge/dynamic/toml?url=https%3A%2F%2Fraw.githubusercontent.com%2Fbpesquet%2Fpytorch-tutorial%2Frefs%2Fheads%2Fmain%2Fpyproject.toml&query=%24.tool.poetry.dependencies.torch&logo=pytorch&logoColor=white&logoSize=auto&label=PyTorch&labelColor=%23EE4C2C&color=black)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

![GitHub Actions Workflow Status](https://img.shields.io/github/actions/workflow/status/bpesquet/pytorch-tutorial/ci.yaml)

This repository provides concise and annotated examples for learning the basics of [PyTorch](https://pytorch.org).

> [About this project](ABOUT.md)

## Table of Contents

- [Fundamentals](pytorch_tutorial/fundamentals/)

- [Linear Regression](pytorch_tutorial/linear_regression/)

- [Logistic Regression](pytorch_tutorial/logistic_regression/)

- [MultiLayer Perceptron](pytorch_tutorial/multilayer_perceptron/)

- [Convolutional Neural Network](pytorch_tutorial/convolutional_neural_network/)

- ... (more to come)

## Usage

```bash

git clone https://github.com/bpesquet/pytorch-tutorial.git

cd pytorch-tutorial

poetry install

python {path to Python example file}

```

## Development notes

### Toolchain

This project is built with the following software:

- [Poetry](https://python-poetry.org/) for dependency management;

- [Black](https://github.com/psf/black) for code formatting;

- [Pylint](https://github.com/pylint-dev/pylint) to detect mistakes in the codebase;

- [pytest](https://docs.pytest.org) for testing examples;

- a [GitHub Action](.github/workflows/ci.yaml) for validating the code upon each push;

- [Marp](https://marp.app/) for showcasing `README` files as slideshows during lectures or labs.

### Useful commands

```bash

# Reformat all Python files

black .

# Check the codebase for mistakes

pylint pytorch_tutorial/*

# Run all code examples as unit tests

# The optional -s flag prints code output

pytest [-s]

```

## License

[Creative Commons](LICENSE) for textual content and [MIT](CODE_LICENSE) for code.

Copyright © 2025-present [Baptiste Pesquet](https://bpesquet.fr).