lbaret
Data Scientist/Engineer | Cognitive sciences engineer degree & AI, master degree
ThalesQuébec, QC
lbaret's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
gskinner/regexr
RegExr is a HTML/JS based tool for creating, testing, and learning about Regular Expressions.
blueedgetechno/win11React
Windows 11 in React 💻🌈⚡
timeseriesAI/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
Sentdex/pygta5
Explorations of Using Python to play Grand Theft Auto 5.
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
tomquirk/linkedin-api
👨💼Linkedin API for Python
shaoxiongji/knowledge-graphs
A collection of research on knowledge graphs
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
lopusz/awesome-interpretable-machine-learning
pbiecek/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
instadeepai/jumanji
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
understandable-machine-intelligence-lab/Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
paxo-phone/PaxOS-8
Code source du système d'exploitation du PaxoPhone
CommunityDragon/CDTB
A library containing everything to extract files from client files.
andreysharapov/xaience
All about explainable AI, algorithmic fairness and more
rrtucci/Bayesuvius
a visual dictionary of Bayesian Networks and Causal Inference.
vveitch/causality-tutorials
Short tutorials on the use of machine learning methods for causal inference
bpesquet/mlhandbook
(Phased out) My textbook for teaching Machine Learning
finnhacks42/causal_bandits
SpringerXAI/ExplainableAI
Config files for my GitHub profile.
zecevic-matej/ESSAI-2023-Causality
European Summer School on AI Course "Machines Climbing Pearl's Ladder of Causation"
andresmachado/rendezvoultron
A bot to create Rendez-vous at Sante Quebec website
MatteoEleouet/DeepLearningEnFrancais
TheophileBERTELOOT/RedditToxicityDataset