probabilistic-inference

There are 2 repositories under probabilistic-inference topic.

pgmpy / pgmpy
Python library for causal inference and probabilistic modeling.
bayesian-networks causal-discovery causal-effect causal-identification causal-inference causal-models causal-prediction causal-validation graphical-models hacktoberfest mixed-data probabilistic-inference python simulation synthetic-data
Language:Python 3092
TuringLang / Turing.jl
Bayesian inference with probabilistic programming.
machine-learning probabilistic-programming julia-language artificial-intelligence bayesian-inference hamiltonian-monte-carlo turing bayesian-statistics mcmc hmc probabilistic-graphical-models probabilistic-models probabilistic-inference bayesian-neural-networks hacktoberfest
Language:Julia 2181
ML-KULeuven / problog
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
problog prolog aproblog dtproblog probabilistic probabilistic-inference probabilistic-programming probabilistic-logic-programming lfi-problog
Language:Python 379
april-tools / cirkit
a python framework to build, learn and reason about probabilistic circuits and tensor networks
probabilistic-circuits probabilistic-inference probabilistic-machine-learning probabilistic-modeling probabilistic-reasoning tensor-network-decompositions tractable-inference tractable-models tensor-net
Language:Python 122
ProbabilisticCircuits.jl
Tractables / ProbabilisticCircuits.jl
Probabilistic Circuits from the Juice library
probabilistic-circuits probabilistic-reasoning probabilistic-inference tractable-models julia
Language:Julia 106
probsys / sppl
Probabilistic programming system for fast and exact symbolic inference
probabilistic-programming sum-product-networks pldi probabilistic-inference programming-languages
Language:Python 82
cambridge-mlg / DUN
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
bayesian-deep-learning bayesian-inference bayesian-neural-networks deep-learning expectation-maximization learnt-depth machine-learning network-depths neural-architecture-search neural-networks probabilistic-inference probabilistic-neural-network pytorch reproducible-paper reproducible-research robustness uncertainty uncertainty-neural-networks uncertainty-quantification variational-inference
Language:Jupyter Notebook 78
gtrll / piper
ros probabilistic-inference factor-graphs robotics motion-planning trajectory-estimation gpmp2 steap
Language:C++ 63
jarridrb / DEM
Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
generative-modeling probabilistic-inference
Language:Python 62
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).
bayesian-network influence-diagram markov-network probabilistic-graphical-models credal-network causal-inference causal-models causality probabilistic-inference probabilistic-classifiers python3 cpp20 parallel-algorithm artificial-intelligence explainable-ai python structural-learning xai machine-learning-algorithms statistical-learning
Language:Jupyter Notebook 45
abenechehab / AdaPTS
[ICML 2025] Official implementation of "AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting"
foundation-models probabilistic-inference multivariate-time-series-forecasting
Language:Jupyter Notebook 37
nsg-ethz / netdice
A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.
network-analysis networks networking probabilistic-inference probabilistic-modeling verification
Language:Python 34
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.
bayesian-optimization building-energy hvac machine-learning-algorithms sobol-indices xgboost-regression cross-validation latin-hypercube-sampling ipopt pyomo nonlinear-optimization gurobi-solver genetic-optimization-algorithm probabilistic-inference stochastic-optimization multivariate-regression multi-objective-optimization nsga-ii pymoo deterministic
Language:Jupyter Notebook 31
francescoalemanno / KissABC.jl
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
bayesian-inference approximate-bayesian-computation statistical-inference probabilistic-inference bayesian-data-analysis kissabc julia-language
Language:Julia 29
mgiannopoulos24 / Artificial-Intelligence
Solutions for the Projects of the Artificial Intelligence (CS 188) course of UC Berkeley
berkeley-ai machine-learning pacman alpha-beta-pruning artificial-intelligence cs188 expectimax minimax multiagent-systems particle-filtering policy-iteration probabilistic-inference q-learning reinforcement-learning search-algorithms value-iteration ai-projects decision-trees percepton python
Language:Python 27
vsimkus / pmr2024-hmm
An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
hmm hmm-viterbi-algorithm hmm-model nlp hidden-markov-models probabilistic-models probabilistic-inference
Language:Jupyter Notebook 25
AndyShih12 / LongHorizonTemperatureScaling
PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
autoregressive-models calibration language-model probabilistic-inference temperature-scaling
Language:Python 20
kodejuice / arithmetic-compressor
Arithmetic coding library with statistical models like PPM and Context mixing (demonstrating core principles of probabilistic inference, ensemble learning in AI)
arithmetic-coding compression encoding-library information-theory neural-network huffman-coding shannon-entropy artificial-intelligence ensemble-learning probabilistic-inference
Language:Python 18
martinferianc / ComBiNet
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
bayesian-neural-networks image-segmentation probabilistic-inference
Language:Python 18
GT-RAIL / clamp
Combined Learning from Demonstration and Motion Planning
learning-from-demonstration trajectory-optimization factor-graphs manipulation robot-learning probabilistic-inference
Language:MATLAB 13
vsimkus / pmr2024-vae
An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning - a University of Edinburgh master's course.
probabilistic-models probabilistic-inference vae vae-implementation variational-inference variational-autoencoder gradient-estimation
Language:Jupyter Notebook 9
linesd / PILCO-disentangling-uncertainty
Disentangling Sources of Uncertainty for Active Exploration (Reinforcement Learning)
pilco reinforcement-learning reinforcement-learning-algorithms machine-learning gaussian-processes dynamical-systems probabilistic-inference learning-control control-systems control monte-carlo-samples uncertainty disentangling-sources pendulum cart-pole cart-double-pendulum
Language:MATLAB 8
allenlsj / physics_world_rl
Implementation of CogSci 2019 paper 'Active physical learning via reinforcement learning'
reinforcement-learning active-learning physical-simulation probabilistic-inference
Language:Python 7
mbanf / METACLUSTER
R package for context-specific functionality analysis of metabolic gene clusters
metabolic-gene-clusters gene-expression probabilistic-inference
Language:R 7
ngalioto / bside
Bayesian system identification toolbox
bayesian-inference gaussian-filters nonlinear-dynamics parameter-estimation probabilistic-inference probabilistic-programming state-estimation system-identification uncertainty-quantification kalman-filtering
Language:Python 4
KevinBian107 / Latent-Planning-as-Optimization
Solving continual long horizon planningproblems with probabilistic inference & meta learning
probabilistic-inference continual-learning deep-reinforcement-learning meta-learning offline-reinforcement-learning
Language:Python 3
ksheersaagr / Moms-Spaghetti
Stash of some of the most potent research papers, blogs and videos on AI which I liked.
research-paper computer-vision machine-learning deep-learning ai privacy-preserving-machine-learning ai-ethics fairness differential-geometry probabilistic-inference probabilistic-methods interpretability interpretable-machine-learning causal-inference causality robustness uncertainty-quantification uncertainty-estimation trustworthy-ai self-driving-cars
3
MrVPlusOne / STEADY
Simultaneous State Estimation and Dynamics Learning from Indirect Observations.
stochastic-dynamics machine-learning probabilistic-inference expectation-maximization-algorithm particle-filters
Language:Julia 3
vsimkus / pmr2024-pgm-demo
An official repository for a PGM demo of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
graphical-models probabilistic-graphical-models probability probabilistic-inference teaching
Language:Jupyter Notebook 3
abhikr360 / Small-Variance-Asymptotics
Small Variance Asymptotics in Non Parametric Bayesian Clustering
machine-learning bayesian-cluster-analysis non-parametric-inference non-parametric probabilistic-inference
Language:C++ 2
VincentDerk / ACircuitMiner
An Arithmetic Circuit Miner
pattern-mining arithmetic-circuit probabilistic-inference
Language:Java 2
aidanscannell / ModeOpt
Mode remaining active learning for multimodal dynamical systems in TensorFlow/GPflow.
active-learning gaussian-processes probabilistic-inference trajectory-optimization
Language:Python 1
shreyas-kowshik / ILStrudel.jl
Code for the paper "ILStrudel : Independence Based Learning of Structured-Decomposable Probabilistic Circuit Ensembles" accepted at the TPM Workshop, UAI'21
tractable-models probabilistic-inference ensemble-learning
Language:Julia 1
sidroopdaska / SignLanguageRecogniser
hidden-markov-model probabilistic-graphical-models probabilistic-inference sign-language-recognition-system sign-language-recognizer model-selection statistical-models
1
tristndev / ComPI
A Benchmarking Suite for Probabilistic Inference Frameworks 📊🔍 Developed at IFIS, University of Lübeck
probabilistic-inference benchmarking lifted-inference statistical-relational-ai
Language:Java 1
kanavgoyal898 / markoText
markoText is a Python-powered story generator using a Bag of Words Markov Chain model to craft narratives. By training on input text, it learns word transition probabilities to generate unique content mimicking the style and structure of the original.
bag-of-words markov-chains n-gram-language-models natural-language-processing probabilistic-inference python research-implementation scratch-implementation
Language:Jupyter Notebook

probabilistic-inference

pgmpy / pgmpy

TuringLang / Turing.jl

ML-KULeuven / problog

april-tools / cirkit

Tractables / ProbabilisticCircuits.jl

probsys / sppl

cambridge-mlg / DUN

gtrll / piper

jarridrb / DEM

agrumery / aGrUM

abenechehab / AdaPTS

nsg-ethz / netdice

tstran155 / Optimization-of-building-energy-consumption

francescoalemanno / KissABC.jl

mgiannopoulos24 / Artificial-Intelligence

vsimkus / pmr2024-hmm

AndyShih12 / LongHorizonTemperatureScaling

kodejuice / arithmetic-compressor

martinferianc / ComBiNet

GT-RAIL / clamp

vsimkus / pmr2024-vae

linesd / PILCO-disentangling-uncertainty

allenlsj / physics_world_rl

mbanf / METACLUSTER

ngalioto / bside

KevinBian107 / Latent-Planning-as-Optimization

ksheersaagr / Moms-Spaghetti

MrVPlusOne / STEADY

vsimkus / pmr2024-pgm-demo

abhikr360 / Small-Variance-Asymptotics

VincentDerk / ACircuitMiner

aidanscannell / ModeOpt

shreyas-kowshik / ILStrudel.jl

sidroopdaska / SignLanguageRecogniser

tristndev / ComPI

kanavgoyal898 / markoText