bayesian-network
There are 314 repositories under bayesian-network topic.
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
TiagoCortinhal/SalsaNext
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
ENSTA-U2IS-AI/torch-uncertainty
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
MaxHalford/sorobn
🧮 Bayesian networks in Python
hutec/UncertaintyNN
Implementation and evaluation of different approaches to get uncertainty in neural networks
Renovamen/pcalg-py
Implement PC algorithm in Python | PC 算法的 Python 实现
dave-fernandes/ECGClassifier
CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
samanyougarg/Group-Emotion-Recognition
Group Emotion Recognition using deep neural networks and Bayesian classifiers.
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).
VicentePerezSoloviev/EDAspy
Estimation of Distribution algorithms Python package
andreacasalino/Easy-Factor-Graph
General purpose C++ library for managing discrete factor graphs
ostwalprasad/LGNpy
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
mspronesti/baylib
High-performance library for approximate inference on discrete Bayesian networks on GPU and CPU
kashimAstro/NNet
algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network
MauroCE/PythonBRMLtoolbox
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
lingfeiwang/findr
Fast Inference of Networks from Directed Regulations
dimgold/Artificial_Curiosity
Adaptive Reinforcement Learning of curious AI basketball agents
tmlr-group/CausalCOAT
[NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"
ANRGenstar/genstar
Generation of Synthetic Populations Library
Howardhuang98/Bayesian_network_learning
融合专家知识的贝叶斯网络结构学习
xiecong/Simple-Implementation-of-ML-Algorithms
My simplest implementations of common ML algorithms
uio-bmi/dagsim
A framework and specification language for simulating data based on graphical models
Howardhuang98/BNSL
Bayesian network structure learning
mvrahden/recurrent-js
[INACTIVE] Amazingly simple to build and train various neural networks. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.
bayesjs/bayesjs
Inference on Bayesian Networks
Airspace-Encounter-Models/em-model-manned-bayes
Manned Bayesian Network Encounter Models
mortoys/avatar-generator
基于贝叶斯网络的捏脸生成器
fulldecent/19-questions
A machine learning / bayesian inference engine assigning attributes to objects
mikeroyal/Bayesian-Statistics-Guide
Bayesian Statistics Guide
ys1998/vae-latent-structure
PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]
bayesjs/bayesjs-editor
A simple editor for Bayesian Networks
cbg-ethz/SGS
Inference in Bayesian Networks with R
CSLiJT/HCD-code
Official code of HierCDF @ SIGKDD2022
lingxuez/bayes-net
Checking D-separations and I-equivalence in Bayesian Networks.
planplus/causality_zh
"Causality: Models, Reasoning, and Inference-Judea Pearl(2009)"中文翻译及学习笔记