probabilistic-inference
There are 31 repositories under probabilistic-inference topic.
TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
ML-KULeuven/problog
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
Tractables/ProbabilisticCircuits.jl
Probabilistic Circuits from the Juice library
probsys/sppl
Probabilistic programming system for fast and exact symbolic inference
cambridge-mlg/DUN
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
nsg-ethz/netdice
A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.
francescoalemanno/KissABC.jl
Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation
jarridrb/DEM
Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
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.
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).
vsimkus/pmr2024-hmm
An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
AndyShih12/LongHorizonTemperatureScaling
PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
martinferianc/ComBiNet
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
GT-RAIL/clamp
Combined Learning from Demonstration and Motion Planning
linesd/PILCO-disentangling-uncertainty
Disentangling Sources of Uncertainty for Active Exploration (Reinforcement Learning)
vsimkus/pmr2024-vae
An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
allenlsj/physics_world_rl
Implementation of CogSci 2019 paper 'Active physical learning via reinforcement learning'
mbanf/METACLUSTER
R package for context-specific functionality analysis of metabolic gene clusters
MrVPlusOne/STEADY
Simultaneous State Estimation and Dynamics Learning from Indirect Observations.
abhikr360/Small-Variance-Asymptotics
Small Variance Asymptotics in Non Parametric Bayesian Clustering
Noob-can-Compile/Moms-Spaghetti
Stash of some of the most potent research papers, blogs and videos on AI which I liked.
VincentDerk/ACircuitMiner
An Arithmetic Circuit Miner
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.
aidanscannell/ModeOpt
Mode remaining active learning for multimodal dynamical systems in TensorFlow/GPflow.
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
tristndev/ComPI
A Benchmarking Suite for Probabilistic Inference Frameworks 📊🔍 Developed at IFIS, University of Lübeck
exbibyte/coursework_prob_learning
archived content from probabilistic learning course
kccqzy/probabilistic-program-inference
A Simple Probabilistic Program Inference Tool Supporting Loops
WilliamBidle/Minesweeper-AI
Built an AI that utilized reinforcement learning to both generate and play the classic minesweeper game