Python Library for Causal and Probabilistic Modeling using Bayesian Networks

ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.

a python framework to build, learn and reason about probabilistic circuits and tensor networks

Probabilistic programming system for fast and exact symbolic inference

Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.

PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

Arithmetic coding library with statistical models like PPM and Context mixing (demonstrating core principles of probabilistic inference, ensemble learning in AI)

Solutions for the Projects of the Artificial Intelligence (CS 188) course of UC Berkeley

Implementation of CogSci 2019 paper 'Active physical learning via reinforcement learning'

Bayesian system identification toolbox

Mode remaining active learning for multimodal dynamical systems in TensorFlow/GPflow.

A Python package for MCMC sampling.

CompiledKnowledge is a Python package for compiling and querying discrete probabilistic graphical models.