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Postgraduate Artificial Intelligence resources from Queen Mary, University of London.

Python 0.41% Jupyter Notebook 99.55% Java 0.04% CMake 0.01%
artificial-intelligence visually-impaired accessibility deep-learning machine-learning natural-language-processing qmul reinforcement-learning

postgraduate-artificial-intelligence's Introduction

Queen Mary, University of London

Resources ๐Ÿ”

Semester Module Resources
A Artificial Intelligence in Games Link
Artificial Intelligence Link
Machine Learning Link
Natural Language Processing Link
B Advanced Robotics Link
Computational Creativity Link
Deep Learning & Computer Vision Link
Interactive Agents & Procedural Generation Link

Cheatsheets ๐Ÿ“ฌ

Name Link
Probability Link
Conda Link
Data Science with Python Link
NumPy Link
Pandas Link
Matrices Link
Equations in code Link

Contributing ๐Ÿ‘‹

Pull Request Process

  • Github Flow: All code updates happen through pull requests:
    • Fork the repo and create your branch from master.
    • If you've added code that should be tested, add tests.
    • If you've changed APIs, update the documentation.
    • Ensure the test suite passes.
    • Make sure your code lints.
    • Issue that pull request!
    • Will be reviewed and merged.

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