probabilistic-graphical-models topic
ReactiveMP.jl
High-performance reactive message-passing based Bayesian inference engine
CS228_PGM
🌀 Stanford CS 228 - Probabilistic Graphical Models
Markov-Random-Field-Project
This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.
odin-ai
Orgainzed Digital Intelligent Network (O.D.I.N)
pytorch_probgraph
A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch
bnp
Bayesian nonparametric models for python
scar
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
CGMM
Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)
flowtorch-old
Separating Normalizing Flows code from Pyro and improving API
pyhgf
PyHGF: A neural network library for predictive coding