bayesian-network

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kumar-shridhar /PyTorch-BayesianCNN

Star1.5k

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-convnets bayes-by-backprop aleatoric-uncertainties

UpdatedApr 19, 2024
Python

TiagoCortinhal /SalsaNext

Star462

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

encoder decoder bayesian-network lidar semantic-segmentation jaccard lidar-point-clouds semantickitti 3d-lidar-data

UpdatedNov 20, 2024
Python

ENSTA-U2IS-AI /torch-uncertainty

Star462

Open-source framework for uncertainty and deep learning models in PyTorch 🌱

computer-vision pytorch bayesian-network uncertainty neural-networks ensembles uncertainty-quantification predictive-uncertainty trustworthy-machine-learning reliable-ai

UpdatedDec 10, 2025
Python

MaxHalford /sorobn

Sponsor

Star261

🧮 Bayesian networks in Python

bayesian-network

UpdatedDec 2, 2025
Python

hutec /UncertaintyNN

Star141

Implementation and evaluation of different approaches to get uncertainty in neural networks

machine-learning bayesian-network uncertainty

UpdatedFeb 16, 2018
Jupyter Notebook

Renovamen /pcalg-py

Star118

Implement PC algorithm in Python | PC 算法的 Python 实现

bayesian-network causal-inference pc-algorithm

UpdatedOct 29, 2023
Python

dave-fernandes /ECGClassifier

Star80

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

swift deep-learning time-series neural-network tensorflow cnn bayesian-network gru rnn

UpdatedJul 28, 2019
Jupyter Notebook

samanyougarg /Group-Emotion-Recognition

Star47

Group Emotion Recognition using deep neural networks and Bayesian classifiers.

flask computer-vision deep-learning numpy keras image-processing emotion cnn pandas bayesian-network convolutional-neural-networks emotion-analysis facial-expression-recognition emotion-detection emotion-recognition group-emotion-recognition

UpdatedDec 8, 2022
Jupyter Notebook

agrumery /aGrUM

Star46

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

VicentePerezSoloviev /EDAspy

Star42

Estimation of Distribution algorithms Python package

python machine-learning time-series optimization feature-selection bayesian-network boa feature-engineering evolutionary-algorithm hyperparameter-tuning gaussian-distribution estimation-distribution-algorithm continuous-optimization pbil keda speda emna egna umda

UpdatedJul 19, 2024
Jupyter Notebook

andreacasalino /Easy-Factor-Graph

Star37

General purpose C++ library for managing discrete factor graphs

training machine-learning cpp probability bayesian-network artificial-intelligence bayesian-methods graphical-models factor-graphs probabilistic-graphical-models artificial-intelligence-algorithms factor-graph

UpdatedFeb 8, 2024
C++

ostwalprasad /LGNpy

Star36

Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧

bayesian-network graphical-models message-passing belief-propagation gaussian-graphical-models linear-gaussian-networks gaussian-bayesian-networks gaussian-belief-propagation gabp

UpdatedAug 21, 2022
Python

mspronesti /baylib

Star32

High-performance library for approximate inference on discrete Bayesian networks on GPU and CPU

boost parallel cuda inference multithreading bayesian-network bayesian-inference mcmc gpgpu-computing mcmc-methods

UpdatedSep 20, 2023
C++

tmlr-group /CausalCOAT

Star27

[NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"

markov-model bayesian-network causality causal-inference unstructured-data causal-discovery foundation-models large-language-models causal-representation-learning

UpdatedDec 2, 2024
Jupyter Notebook

MauroCE /PythonBRMLtoolbox

Star26

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

machine-learning statistics matlab bayesian-network bayesian-methods model-selection supervised-learning bayesian graphical-models bayesian-inference bayesian-networks bayesian-optimization bayesian-data-analysis bayesian-statistics bayesian-analysis bayesian-neural-networks markov-networks supervised-machine-learning supervised-learning-algorithms statistics-toolbox

UpdatedAug 18, 2018
Python

kashimAstro /NNet

Star24

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

algorithm course study cplusplus graph clustering cnn bayesian-network restricted-boltzmann-machine perceptron multilayer-perceptron-network cluster-computing clustering-graph

UpdatedAug 27, 2017
C++

lingfeiwang /findr

Star22

Fast Inference of Networks from Directed Regulations

systems-biology directed-graph network-inference bayesian-network gene-regulation dag

UpdatedDec 7, 2023
C

dimgold /Artificial_Curiosity

Star22

Adaptive Reinforcement Learning of curious AI basketball agents

nba data-science reinforcement-learning simulation random-forest genetic-algorithm basketball pandas seaborn feature-selection bayesian-network artificial-intelligence sgd neural-networks adaptive-learning bayesian-inference svm-classifier curiosity information-gain one-hot-encode

UpdatedOct 28, 2017
Jupyter Notebook

Jstacs /Jstacs

Star22

markov-model statistical-learning bayesian-network generative-model classification hidden-markov-model mixture-model statistical-models gradient-descent-algorithm biological-sequences biological-sequence-statistics discriminative-learning machine-lerning

UpdatedNov 25, 2025
Java

xiecong /Simple-Implementation-of-ML-Algorithms

Star20

My simplest implementations of common ML algorithms

machine-learning hmm deep-learning random-forest naive-bayes cnn bayesian-network lstm gan dqn xgboost rnn vae gbdt factorization-machines mlp adaboost convolutional-neural-network evolutionary-algorithm swarm-intelligence

UpdatedJul 23, 2023
Python

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bayesian-network

Here are 332 public repositories matching this topic...

kumar-shridhar /PyTorch-BayesianCNN

TiagoCortinhal /SalsaNext

ENSTA-U2IS-AI /torch-uncertainty

MaxHalford /sorobn

hutec /UncertaintyNN

Renovamen /pcalg-py

dave-fernandes /ECGClassifier

samanyougarg /Group-Emotion-Recognition

agrumery /aGrUM

VicentePerezSoloviev /EDAspy

andreacasalino /Easy-Factor-Graph

ostwalprasad /LGNpy

mspronesti /baylib

tmlr-group /CausalCOAT

MauroCE /PythonBRMLtoolbox

kashimAstro /NNet

lingfeiwang /findr

dimgold /Artificial_Curiosity

Jstacs /Jstacs

xiecong /Simple-Implementation-of-ML-Algorithms

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