A curated list of awesome Fairness in AI resources
- fairness
- machine-learning
- deep-learning
- gender-bias
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A curated list of awesome Fairness in AI resources
A Web Application for Learning OCaml
Learn Claude Code by exploring it as it was designed - interactive IDE-style docs for commands, MCP, skills, CLAUDE.md and more.
The universe in numbers. Free, open-source calculators for everything countable.
A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.
🔐 A detailed example for how to encrypt data in an Elixir (Phoenix v1.7) App before inserting into a database using Ecto Types
An awesome list of resources for specific science, technology, engineering, art, and math (STEAM) classes that students and teachers can use to supplement their learning
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
So, you just learned that there are problems in the tech industry. What now?
A curated list of awesome resources for adversarial examples in deep learning
🚂✋📖 - Learn the choo framework through a set of exercises
JavaScript ES(6|2015) generators workshopper. Learn in practice. :metal:
Learn Clean Architecture with .NET Core 3.0 :fire:
Awesome list of software that I use to do research in medical imaging.
Code repository for Learning Vulkan, published by Packt
Samples for Learning Modern CMake
A curated list of resources for machine learning for small-molecule drug discovery
🚢 Learn how to use docker.io containers to consistently deploy your apps on any infrastructure.
INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.
Materials for GWU DNSC 6279 and DNSC 6290.
A set of koans for learning Elm
A repository of learning & R resources related to topic models
Learning Swift by working through example code in playgrounds
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.