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probabilistic-inference

Here are 34 public repositories matching this topic...

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

Updated Nov 1, 2024
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

Updated Oct 29, 2024
Python

ProbabilisticCircuits.jl

Tractables / ProbabilisticCircuits.jl

Probabilistic Circuits from the Juice library

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

Updated Jun 10, 2024
Julia

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

Updated Oct 29, 2024
Python

probsys / sppl

Probabilistic programming system for fast and exact symbolic inference

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

Updated Jul 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

Updated Oct 3, 2023
Jupyter Notebook

gtrll / piper

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

Updated Sep 1, 2021
C++

jarridrb / DEM

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

probabilistic-inference generative-modeling

Updated Feb 12, 2024
Python

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

Updated Jul 12, 2021
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

Updated Apr 28, 2023
Julia

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

Updated Oct 22, 2024
Jupyter Notebook

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

Updated Mar 15, 2023
Jupyter Notebook

vsimkus / pmr2024-hmm

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

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

Updated Jan 2, 2024
Jupyter Notebook

AndyShih12 / LongHorizonTemperatureScaling

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

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

Updated May 31, 2023
Python

martinferianc / ComBiNet

ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation

image-segmentation bayesian-neural-networks probabilistic-inference

Updated Oct 13, 2023
Python

GT-RAIL / clamp

Combined Learning from Demonstration and Motion Planning

manipulation trajectory-optimization factor-graphs robot-learning learning-from-demonstration probabilistic-inference

Updated Feb 5, 2019
MATLAB

linesd / PILCO-disentangling-uncertainty

Disentangling Sources of Uncertainty for Active Exploration (Reinforcement Learning)

machine-learning control reinforcement-learning uncertainty reinforcement-learning-algorithms dynamical-systems control-systems gaussian-processes pendulum probabilistic-inference cart-pole pilco learning-control monte-carlo-samples disentangling-sources cart-double-pendulum

Updated Dec 16, 2019
MATLAB

vsimkus / pmr2024-vae

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

vae variational-inference probabilistic-models variational-autoencoder probabilistic-inference vae-implementation gradient-estimation

Updated Jan 2, 2024
Jupyter Notebook

allenlsj / physics_world_rl

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

reinforcement-learning active-learning probabilistic-inference physical-simulation

Updated Jun 2, 2021
Python

mbanf / METACLUSTER

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

gene-expression probabilistic-inference metabolic-gene-clusters

Updated Feb 24, 2020
R

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