probabilistic-graphical-models topic
machine-learning-summer-schools
Curated materials for different machine learning related summer schools
AlgebraicInference.jl
Bayesian inference on wiring diagrams.
prosper
A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions
Splotch
Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data
MvMM-Demo
PyTorch implementation for multivariate mixture model on cardiac segmentation from multi-source images (TPAMI 2019)
MvMM-RegNet
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation (MICCAI 2020)
BayesNetBP
R package for inference in Bayesian networks.