Bayesian inference with probabilistic programming.

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

Probabilistic Circuits from the Juice library

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 "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

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.

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

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

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

Combined Learning from Demonstration and Motion Planning

Disentangling Sources of Uncertainty for Active Exploration (Reinforcement Learning)

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

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

R package for context-specific functionality analysis of metabolic gene clusters