A curated list of awesome responsible machine learning resources.
- fairness
- xai
- interpretability
- transparency
47,133 repositories indexed
145–168 of 315 · Most stars
A curated list of awesome responsible machine learning resources.
Code accompanying the book "Machine Learning for Hackers"
:earth_americas: machine learning tutorials (mainly in Python3)
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
:electric_plug: Everything you need to know to create offline-first web apps.
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Apache HTTP server boilerplate configs
15 motion design styles, each made by Claude Opus 5.5 writing code from one prompt: watch the films, copy the prompts, read the full source.
:sunglasses: A curated list of robotics libraries and software
Quantitative analysis, strategies and backtests
List of articles related to deep learning applied to music
A curated list of awesome anomaly detection resources
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Algorithms for explaining machine learning models
A curated list of awesome MySQL software, libraries, tools and resources
A curated list of awesome Dart frameworks, libraries, and software
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of community detection research papers with implementations.
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
Curated list of open-source quantum software projects.
Curated list: Resources for machine learning in Ruby
A curated list of games that can teach you how to learn a programming language.
a curated list of R tutorials for Data Science, NLP and Machine Learning
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.