lbaret

CIMI

RedditToxicityDataset

jumanji

🕹️ A diverse suite of scalable reinforcement learning environments in JAX

rendezvoultron

A bot to create Rendez-vous at Sante Quebec website

ESSAI-2023-Causality

European Summer School on AI Course "Machines Climbing Pearl's Ladder of Causation"

DeepLearningEnFrancais

Quantus

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Bayesuvius

a visual dictionary of Bayesian Networks and Causal Inference.

PaxOS-8

Code source du système d'exploitation du PaxoPhone

causality-tutorials

Short tutorials on the use of machine learning methods for causal inference

causal_bandits

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

scikit-learn

scikit-learn: machine learning in Python

tensorflow

An Open Source Machine Learning Framework for Everyone

linkedin-api

👨‍💼Linkedin API for Python

pygta5

Explorations of Using Python to play Grand Theft Auto 5.

xaience

All about explainable AI, algorithmic fairness and more

awesome-interpretable-machine-learning

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

xai_resources

Interesting resources related to XAI (Explainable Artificial Intelligence)

ExplainableAI

Config files for my GitHub profile.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

pytorch_geometric

Graph Neural Network Library for PyTorch

mlhandbook

(Phased out) My textbook for teaching Machine Learning

knowledge-graphs

A collection of research on knowledge graphs

win11React

Windows 11 in React 💻🌈⚡

regexr

RegExr is a HTML/JS based tool for creating, testing, and learning about Regular Expressions.

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)