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probabilistic-inference

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pgmpy /pgmpy

Python library for Causal AI

python simulation graphical-models bayesian-networks hacktoberfest causal-inference causal-models synthetic-data probabilistic-inference mixed-data causal-discovery causal-effect causal-identification causal-prediction causal-validation

UpdatedDec 18, 2025
Python

TuringLang /Turing.jl

Bayesian inference with probabilistic programming.

machine-learning julia-language artificial-intelligence probabilistic-programming bayesian-inference mcmc turing hacktoberfest probabilistic-graphical-models hmc hamiltonian-monte-carlo bayesian-statistics probabilistic-models bayesian-neural-networks probabilistic-inference

UpdatedDec 14, 2025
Julia

ML-KULeuven /problog

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

prolog probabilistic-programming probabilistic problog probabilistic-inference probabilistic-logic-programming aproblog dtproblog lfi-problog

UpdatedSep 23, 2025
Python

april-tools /cirkit

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

probabilistic-modeling tractable-models probabilistic-inference probabilistic-circuits probabilistic-machine-learning probabilistic-reasoning tensor-network-decompositions tractable-inference tensor-net

UpdatedDec 10, 2025
Python

ProbabilisticCircuits.jl

Tractables /ProbabilisticCircuits.jl

Probabilistic Circuits from the Juice library

julia tractable-models probabilistic-inference probabilistic-circuits probabilistic-reasoning

UpdatedJun 10, 2024
Julia

probsys /sppl

Probabilistic programming system for fast and exact symbolic inference

programming-languages probabilistic-programming pldi probabilistic-inference sum-product-networks

UpdatedJul 10, 2024
Python

cambridge-mlg /DUN

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

machine-learning deep-learning reproducible-research pytorch uncertainty neural-networks expectation-maximization uncertainty-neural-networks bayesian-inference uncertainty-quantification variational-inference bayesian-neural-networks robustness neural-architecture-search bayesian-deep-learning probabilistic-inference reproducible-paper probabilistic-neural-network learnt-depth network-depths

UpdatedOct 3, 2023
Jupyter Notebook

jarridrb /DEM

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

probabilistic-inference generative-modeling

UpdatedApr 11, 2025
Python

gtrll /piper

robotics motion-planning ros factor-graphs probabilistic-inference trajectory-estimation gpmp2 steap

UpdatedSep 1, 2021
C++

aGrUM

agrumery /aGrUM

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).

python machine-learning-algorithms statistical-learning python3 bayesian-network artificial-intelligence parallel-algorithm causality probabilistic-graphical-models causal-inference causal-models cpp20 probabilistic-inference explainable-ai xai probabilistic-classifiers structural-learning markov-network influence-diagram credal-network

UpdatedDec 16, 2025
Jupyter Notebook

abenechehab /AdaPTS

[ICML 2025] Official implementation of "AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting"

probabilistic-inference foundation-models multivariate-time-series-forecasting

UpdatedDec 14, 2025
Jupyter Notebook

nsg-ethz /netdice

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

networking verification networks network-analysis probabilistic-modeling probabilistic-inference

UpdatedJul 12, 2021
Python

tstran155 /Optimization-of-building-energy-consumption

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.

machine-learning-algorithms cross-validation multi-objective-optimization pyomo deterministic bayesian-optimization hvac nonlinear-optimization nsga-ii multivariate-regression stochastic-optimization ipopt probabilistic-inference genetic-optimization-algorithm latin-hypercube-sampling building-energy xgboost-regression sobol-indices gurobi-solver pymoo

UpdatedMar 15, 2023
Jupyter Notebook

mgiannopoulos24 /Artificial-Intelligence

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

python machine-learning reinforcement-learning q-learning artificial-intelligence pacman multiagent-systems decision-trees minimax alpha-beta-pruning search-algorithms policy-iteration value-iteration cs188 expectimax probabilistic-inference berkeley-ai particle-filtering ai-projects percepton

UpdatedNov 13, 2025
Python

francescoalemanno /KissABC.jl

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

julia-language statistical-inference bayesian-inference bayesian-data-analysis approximate-bayesian-computation probabilistic-inference kissabc

UpdatedDec 2, 2025
Julia

vsimkus /pmr2024-hmm

An official repository for tutorials of Probabilistic Modelling and Reasoning - a University of Edinburgh master's course.

nlp hmm hmm-model hidden-markov-models probabilistic-models hmm-viterbi-algorithm probabilistic-inference

UpdatedJan 2, 2024
Jupyter Notebook

AndyShih12 /LongHorizonTemperatureScaling

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

calibration language-model probabilistic-inference temperature-scaling autoregressive-models

UpdatedMay 31, 2023
Python

kodejuice /arithmetic-compressor

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

compression neural-network information-theory artificial-intelligence huffman-coding ensemble-learning arithmetic-coding encoding-library probabilistic-inference shannon-entropy

UpdatedOct 9, 2023
Python

ML-KULeuven /klay

Sparse Circuits on the GPU (ICLR2025)

tractable-models probabilistic-inference arithmetic-circuits probabilistic-circuits neurosymbolic tractable-inference neurosymbolic-ai

UpdatedNov 21, 2025
Python

martinferianc /ComBiNet

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

image-segmentation bayesian-neural-networks probabilistic-inference

UpdatedOct 13, 2023
Python

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