https://github.com/alan-turing-institute/intro-to-transparent-ml-course

An Introduction to Transparent Machine Learning
https://github.com/alan-turing-institute/intro-to-transparent-ml-course

ai-ethics interpretable-machine-learning islr python transparency

Last synced: 5 months ago
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An Introduction to Transparent Machine Learning

• Host: GitHub
• URL: https://github.com/alan-turing-institute/intro-to-transparent-ml-course
• Owner: alan-turing-institute
• License: mit
• Created: 2022-08-01T10:45:45.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-02-06T21:56:05.000Z (over 1 year ago)
• Last Synced: 2025-04-09T02:11:09.518Z (6 months ago)
• Topics: ai-ethics, interpretable-machine-learning, islr, python, transparency
• Language: Jupyter Notebook
• Homepage: https://alan-turing-institute.github.io/Intro-to-transparent-ML-course
• Size: 17.6 MB
• Stars: 13
• Watchers: 6
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

          
# An Introduction to Transparent Machine Learning

[![Build Stats](https://github.com/pykale/transparentML/workflows/deploy/badge.svg)](https://github.com/pykale/transparentML/actions)

[![All Contributors](https://img.shields.io/badge/all_contributors-5-orange.svg?style=flat-square)](https://github.com/pykale/transparentML/graphs/contributors)

This repository contains a Jupyter book on [An Introduction to Transparent Machine Learning](https://www.turing.ac.uk/introduction-transparent-machine-learning), part of the [Alan Turing Institute](https://www.turing.ac.uk/)'s [online learning courses in responsible AI](https://www.turing.ac.uk/funding-call-online-learning-courses-responsible-ai). It is developed as [a PyKale repository](https://github.com/pykale/transparentML) for deployment as [an Alan Turing Institute repository](https://github.com/alan-turing-institute/Intro-to-transparent-ML-course/).

The latest development version of this book is available at [pykale.github.io](https://pykale.github.io/transparentML/) and the latest stable version is deployed at [alan-turing-institute.github.io](https://alan-turing-institute.github.io/Intro-to-transparent-ML-course).

Welcome your feedback and contribution via opening [issues](https://github.com/pykale/transparentML/issues), [discussions](https://github.com/pykale/transparentML/discussions), and/or [pull requests](https://github.com/pykale/transparentML/pulls).

© Haiping Lu and Shuo Zhou

## Building the book locally

If you'd like to develop and/or build this book locally, you should:

1. Clone the [source repository at PyKale](https://github.com/pykale/transparentML): `git clone https://github.com/pykale/transparentML`.

2. Run `pip install -r requirements.txt` to install the required dependencies for building the book (it is recommended you do this within a virtual environment).

3. (Optional) Edit the book source files located in the `content` directory.

4. Run `jupyter-book build content` from the project directory `transparentML` to build the book.

A fully-rendered HTML version of the book will be built in `content/_build/html/`.

## Contributing

This repository uses [`pre-commit`](https://pre-commit.com/). If you will contribute to this repository (most welcome!), please install `pre-commit` and run `pre-commit install` prior to committing. If you have already committed, but your PR is failing because of a pre-commit error, run `pre-commit run --all` locally to inspect and fix the error.

## Contributors

We welcome and recognise all contributions. Please see our [Contributor Guidelines](CONTRIBUTING.md) and [Code of Conduct](CODE_OF_CONDUCT.md) for more information. You can see a list of current contributors in the [contributors tab](https://github.com/pykale/transparentML/graphs/contributors).

## Credits

This project is created using the excellent open source [Jupyter Book project](https://jupyterbook.org/) and the [executablebooks/cookiecutter-jupyter-book template](https://github.com/executablebooks/cookiecutter-jupyter-book).

## License

All content except for YouTube videos is released under the [MIT License](https://github.com/pykale/transparentML/blob/main/LICENSE). YouTube videos are embedded according to [YouTube's Terms of Service](https://www.youtube.com/static?gl=CA&template=terms).