Drench yourself in Deep Learning, Reinforcement Learning, Machine Learni...
Fast, flexible and easy to use probabilistic modelling in Python.
LibRec: A Leading Java Library for Recommender Systems, see
Python Library for learning (Structure and Parameter), inference (Probab...
Bayesian inference with probabilistic programming.
Variational autoencoder implemented in tensorflow and pytorch (including...
Sample code for the Model-Based Machine Learning book.
This project has two parts. In part one, we use markov random field to d...
High-performance reactive message-passing based Bayesian inference engine
🌀 Stanford CS 228 - Probabilistic Graphical Models
Inference of microbial interaction networks from large-scale heterogeneo...
A Library for Modelling Probabilistic Hierarchical Graphical Models in P...
Separating Normalizing Flows code from Pyro and improving API
Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JML...