There are 2 repositories under probabilistic-inference topic.
Bayesian inference with probabilistic programming.
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
Probabilistic Circuits from the Juice library
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
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).
An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
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.
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
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
Simultaneous State Estimation and Dynamics Learning from Indirect Observations.
Small Variance Asymptotics in Non Parametric Bayesian Clustering
Stash of some of the most potent research papers, blogs and videos on AI which I liked.
An Arithmetic Circuit Miner
An official repository for a PGM demo of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
Mode remaining active learning for multimodal dynamical systems in TensorFlow/GPflow.
Code for the paper "ILStrudel : Independence Based Learning of Structured-Decomposable Probabilistic Circuit Ensembles" accepted at the TPM Workshop, UAI'21
archived content from probabilistic learning course
A Simple Probabilistic Program Inference Tool Supporting Loops
Built an AI that utilized reinforcement learning to both generate and play the classic minesweeper game