probabilistic-graphical-models topic
causact
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
blangSDK
Blang's software development kit
statistical-machine-learning
Probabilistic Machine Learning course lab @UNITS
FlashWeave.jl
Inference of microbial interaction networks from large-scale heterogeneous abundance data
DEBD
A collection of commonly used datasets as benchmarks for density estimation in MaLe
Easy-Factor-Graph
General purpose C++ library for managing discrete factor graphs
pyrandwalk
:walking:Python Library for Random Walks
aGrUM
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).
MVA
Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
deep-learning-drizzle.github.io
webpage for maintaining the list of openly available DL, ML, RL, Vision, NLP, Optimization courses