Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with bayesian-networks
A curated list of projects in awesome lists tagged with bayesian-networks .
https://github.com/py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects
Last synced: 16 Dec 2024
https://microsoft.github.io/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
bayesian-networks causal-inference causal-machine-learning causal-models causality data-science do-calculus graphical-models machine-learning python3 treatment-effects
Last synced: 03 Oct 2024
https://github.com/pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
bayesian-networks causal-discovery causal-identification causal-inference inference python simulations structure-learning
Last synced: 16 Dec 2024
https://github.com/afshinea/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
a-star artificial-intelligence bayesian-networks cheatsheet constraint-satisfaction-problem data-science markov-decision-processes
Last synced: 04 Dec 2024
https://github.com/google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
bayesian-inference bayesian-networks deep-networks gaussian-processes gradient-descent gradient-flow infinite-networks jax kernel kernel-computation neural-networks neural-tangents training-dynamics
Last synced: 19 Dec 2024
https://github.com/mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning
Last synced: 19 Dec 2024
https://github.com/quantumblacklabs/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning
Last synced: 20 Nov 2024
https://github.com/kumar-shridhar/pytorch-bayesiancnn
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference
Last synced: 21 Dec 2024
https://github.com/kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition python pytorch pytorch-cnn variational-bayes variational-inference
Last synced: 30 Oct 2024
https://github.com/microsoft/browsecloud
A web app to create and browse text visualizations for automated customer listening.
bayesian-networks counting-grids nlp text-classification text-processing visualization
Last synced: 22 Nov 2024
https://github.com/aimclub/BAMT
Repository of a data modeling and analysis tool based on Bayesian networks
bayesian-networks mixed-data parameters-learning structure-learning synthetic-data
Last synced: 12 Nov 2024
https://github.com/itsrainingdata/sparsebn
Software for learning sparse Bayesian networks
bayesian-networks covariance-matrices experimental-data graphical-models machine-learning r regularization statistics
Last synced: 28 Oct 2024
https://github.com/jluttine/junction-tree
The junction tree algorithm for (discrete) factor graphs
bayesian-networks clique-potentials factor-graphs graphical-models inference junction-trees marginalization
Last synced: 12 Nov 2024
https://github.com/sap-archive/bayesian-network-builder
Domain specific language for modelling dynamic Bayesian networks and estimating posteriors
bayes bayesian-inference bayesian-networks dsl
Last synced: 30 Sep 2024
https://github.com/mikeroyal/bayesian-statistics-guide
Bayesian Statistics Guide
bayes bayes-classifier bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-network bayesian-networks bayesian-optimization bayesian-statistics deep-learning machine-learning pytorch statistics
Last synced: 09 Nov 2024
https://github.com/Himscipy/bnn_hvd
Distributed Training of Bayesian Neural Networks at Scale
bayesian-networks computer-vision data-science distributed-computing horovod machine-learning mnist tensorflow tensorflow-probability uncertainty-quantification variational-inference
Last synced: 23 Nov 2024
https://github.com/hayesall/awesome-bayes-nets
⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.
awesome awesome-list bayes bayesian-networks machine-learning probabilistic-graphical-models
Last synced: 11 Oct 2024
https://github.com/cbg-ethz/sgs
Inference in Bayesian Networks with R
bayesian-network bayesian-networks graphical-models inference missing-data probabilistic-graphical-models
Last synced: 17 Nov 2024
https://github.com/wadaboa/bayesian-net-classifier
Various classifiers using bayesian networks, for Knowledge Representation class at UNIBO
bayesian-networks classifiers forest-augmented-naive-bayes naive-bayes tree-augmented-naive-bayes
Last synced: 12 Oct 2024
https://github.com/itsrainingdata/ccdralgorithm
Structure learning for Bayesian networks using the CCDr algorithm.
bayesian-networks experimental-data graphical-models machine-learning-algorithms r regularization statistical-learning
Last synced: 14 Oct 2024
https://github.com/dirmeier/bayesian-networks-introduction
:bar_chart: Introduction to Bayesian Networks.
Last synced: 16 Nov 2024
https://github.com/fritzbayer/causal-discovery-research-papers
A curated list of causal structure learning research papers with implementations.
bayesian-network bayesian-networks causal-discovery causal-inference causality dag structure-learning
Last synced: 17 Nov 2024
https://github.com/cbg-ethz/clustnet
Network-based clustering
bayesian-network bayesian-networks clustering dag genomics mixture-model network-clustering
Last synced: 17 Nov 2024
https://github.com/leodido/m.sc-thesis
My M.Sc thesis on Continuous time Bayesian Network Classifiers (CTBNCs)
bayesian-networks ctbn ml thesis time-series time-series-classification
Last synced: 26 Nov 2024
https://github.com/amirreza81/artificial-intelligence
Solutions to practical assignments of Artificial Intelligence course (CE-417) at Sharif University of Technology
a-star a-star-algorithm adversarial-search ai alpha-beta-pruning artificial-intelligence bayesian-networks cryptarithmetic decision-trees deep-learning logistic-regression machine-learning minimax-algorithm pytorch q-learning q-learning-vs-sarsa rainforcement-learning rl simulated-annealing simulated-annealing-algorithm
Last synced: 09 Nov 2024
https://github.com/markdouthwaite/apogee
Bayesian Networks and Probabilistic Graphical Models for Python
artificial-intelligence bayesian-networks probabilistic-graphical-models probabilistic-programming
Last synced: 01 Dec 2024
https://github.com/matteofasulo/bayesianheartdisease
Heart Disease Risk Assessment using Bayesian Networks
bayesian-network bayesian-networks pgmpy python3
Last synced: 19 Nov 2024
https://github.com/itsrainingdata/sparsebnutils
Utilities for learning sparse Bayesian networks
bayesian-networks graphical-models machine-learning r statistics
Last synced: 14 Oct 2024
https://github.com/harshakokel/basket
This repository contains implementations of various ML/NLP/CV algorithms including Bayesian-Networks, HMM, Means, various gradient descents, loopy belief propagation, etc.
bayesian-networks collaborative-filtering machine-learning python
Last synced: 15 Nov 2024
https://github.com/lucivpav/dnbc-scala
Parallel implementation of dynamic naive Bayesian classifier
apache-spark bayesian-networks ctu-fit dnbc fit-ctu naive-bayes-classifier scala spark
Last synced: 20 Dec 2024
https://github.com/velocitatem/risk_assesment_arctic_navigation
Project for Probability for Computer Science - bayesian network modeling of risk in arctic navigation
Last synced: 07 Nov 2024
https://github.com/ymd-h/b4tf
Mirror Repository of https://gitlab.com/ymd_h/b4tf
bayesian-networks machine-learning python
Last synced: 14 Nov 2024
https://github.com/hayesall/unidags
🦄 Uniformly distributed samples of directed acyclic graphs for random Bayesian Networks
Last synced: 15 Nov 2024
https://github.com/cbg-ethz/myeloid-clustering
This repository contains supplementary information, data and code for the manuscript: Bayer et al. 2023, "Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies"
acute-myeloid-leukemia bayesian-networks cancer-genomics clustering myelodysplasticsyndome network-based-stratification
Last synced: 17 Nov 2024
https://github.com/samthiriot/knime.bayesiannetworks
Bayesian Networks nodes for KNIME
bayesian-networks knime knime-node scientific-computing scientific-machine-learning scientific-workflows synthetic-data synthetic-dataset-generation synthetic-population-library synthetic-populations
Last synced: 25 Nov 2024
https://github.com/casperkristiansson/artificial-inteligence-dd2380
Artificial Inteligence DD2380 - Essay & Assignments
ai artificial-intelligence bayesian-networks dd2380 heuristics hmm logic planning reinforcement-learning rl search-algorithm
Last synced: 15 Nov 2024
https://github.com/musty-ess/heredity-genetic-trait-prediction-using-bayesian-networks-ai
This project aims to implement an AI that assesses the likelihood of a person having a particular genetic trait based on their family history. The trait in question is modeled using a Bayesian Network.
ai artificial-intelligence bayesian-networks probability python
Last synced: 13 Nov 2024
https://github.com/mushtabaa/encm509-labs
Fundamentals of Biometric Systems Design Assignments
bayesian-networks conditional-probability de-noising em-algorithm face-recognition feature-extraction fingerprint gabor-filter guassian-mixture-model hand-gesture-recognition log-likelihood long-short-term-memory pre-processing principal-component-analysis pyagrum segmentation statistical-analysis wiener-filter
Last synced: 05 Nov 2024
https://github.com/ax-va/project-bayesianpy
This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.
bayesian-inference bayesian-machine-learning bayesian-network bayesian-networks bayesian-reasoning inference machine-learning machine-learning-algorithms markov-network markov-networks pgm probabilistic-graphical-models probabilistic-programming probabilistic-reasoning
Last synced: 18 Nov 2024
https://github.com/matteofasulo/heartdisease-dashboard
Heart Disease Risk Assessment using Bayesian Networks
bayesian-inference bayesian-network bayesian-networks pgmpy python3 streamlit variable-elimination
Last synced: 19 Nov 2024
https://github.com/jakecyr/bayesian-network
Naive Bayes Classifier built in Node.js
bayesian-network bayesian-networks classifier machine-learning nodejs
Last synced: 16 Nov 2024
https://github.com/markdouthwaite/apogee-server
Probabilistic Graphical Models on Kubernetes
bayesian-networks gcp golang kuberenetes machine-learning probabilistic-graphical-models python skaffold tornado
Last synced: 01 Dec 2024
https://github.com/gilbertocunha/quantumbayesianrl
A quantum reinforcement learning algorithm for solving POMDPs. Uses a model based approach with dynamic decision networks and a lookahead search for action selection.
bayesian-inference bayesian-networks quantum-computing reinforcement-learning
Last synced: 02 Dec 2024
https://github.com/rmodi6/pacman-ai-ghostbusters
Solutions to Pacman AI Ghostbusters problems
artificial-intelligence bayesian-inference bayesian-networks inference-algorithms pacman python27
Last synced: 12 Nov 2024
https://github.com/techshot25/bayesian-neural-network
You know I'm all about the Bayes!
bayesian-inference bayesian-networks probabilistic-neural-network pyro-ppl
Last synced: 10 Nov 2024
https://github.com/dpbm/bayesian-networks
Testing Quantum bayesian networks with pennnylane
bayesian bayesian-networks pennylane quantum quantum-computing quantum-machine-learning
Last synced: 02 Dec 2024
https://github.com/davidgeorgewilliams/sushinference-bayes
Dive into the flavorful world of probabilistic sushi recommendations with SushiNference-Bayes! This innovative C# project leverages Bayesian inference and the Infer.NET library to predict and model sushi preferences, serving up a delicious blend of machine learning and culinary science.
bayes-classifier bayesian-data-analysis bayesian-inference bayesian-methods bayesian-networks bayesian-optimization c-sharp c-sharp-8 dotnet dotnet-framework sushi
Last synced: 22 Nov 2024
