Data

Tools

Indexes

Applications

Experiments

Open Source Science

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

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.9%) to scientific vocabulary

Keywords

ai-ethics interpretable-machine-learning islr python transparency
Last synced: 5 months ago · JSON representation

Repository

An Introduction to Transparent Machine Learning

Basic Info
Statistics
  • Stars: 13
  • Watchers: 6
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Topics
ai-ethics interpretable-machine-learning islr python transparency
Created over 3 years ago · Last pushed about 2 years ago
Metadata Files
Readme Contributing License Code of conduct

README.md

An Introduction to Transparent Machine Learning

Build Stats<!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section --> All Contributors <!-- ALL-CONTRIBUTORS-BADGE:END -->

This repository contains a Jupyter book on An Introduction to Transparent Machine Learning, part of the Alan Turing Institute's online learning courses in responsible AI. It is developed as a PyKale repository for deployment as an Alan Turing Institute repository.

The latest development version of this book is available at pykale.github.io and the latest stable version is deployed at alan-turing-institute.github.io.

Welcome your feedback and contribution via opening issues, discussions, and/or pull requests.

© 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: 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. 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 and Code of Conduct for more information. You can see a list of current contributors in the contributors tab.

Credits

This project is created using the excellent open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.

License

All content except for YouTube videos is released under the MIT License. YouTube videos are embedded according to YouTube's Terms of Service.

Owner

  • Name: The Alan Turing Institute
  • Login: alan-turing-institute
  • Kind: organization
  • Email: info@turing.ac.uk

The UK's national institute for data science and artificial intelligence.

GitHub Events

Total
  • Watch event: 2
  • Fork event: 2
Last Year
  • Watch event: 2
  • Fork event: 2

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 1
  • Total pull requests: 1
  • Average time to close issues: 23 days
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 hour
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • snietopski (1)
Pull Request Authors
  • Mdnaimulislam (2)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/deploy.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
  • peaceiris/actions-gh-pages v3.6.1 composite
.github/workflows/pre-commit.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
requirements.txt pypi
  • ghp-import *
  • jupyter-book ==0.12.3
  • matplotlib >=3.5.3
  • numpy *
  • pandas *
  • scikit-learn *
  • seaborn *
  • sphinx_proof *
  • statsmodels *