PgmpyPython Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.
Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
LibrecLibRec: A Leading Java Library for Recommender Systems, see
PomegranateFast, flexible and easy to use probabilistic modelling in Python.
markovian🎲 A Kotlin DSL for probabilistic programming.
prosperA Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions
MvMM-RegNetCode for paper: MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
ReactiveMP.jlJulia package for automatic Bayesian inference on a factor graph with reactive message passing
bnpBayesian nonparametric models for python
blangSDKBlang's software development kit
Markov-Random-Field-ProjectThis 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.
CGMMOfficial Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)
flowtorch-oldSeparating Normalizing Flows code from Pyro and improving API