probabilistic-graphical-models topic

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

kmario23

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

pgmpy

A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.

hao-lh

Bayesian inference with probabilistic programming.

TuringLang

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

biaslab

LibRec: A Leading Java Library for Recommender Systems, see

guoguibing

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

jaanli

Fast, flexible and easy to use probabilistic modelling in Python.

jmschrei

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

probcomp

Sample code for the Model-Based Machine Learning book.

dotnet