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: 01 Oct 2024

https://github.com/microsoft/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: 28 Aug 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-inference directed-acyclic-graph inference probabilistic-graphical-models python simulations structure-learning

Last synced: 30 Sep 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: 30 Sep 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: 30 Sep 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: 30 Sep 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: 04 Aug 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 Sep 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: 31 Jul 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: 05 Aug 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: 02 Aug 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/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: 05 Aug 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: 01 Oct 2024

https://github.com/itsrainingdata/sparsebnutils

Utilities for learning sparse Bayesian networks

bayesian-networks graphical-models machine-learning r statistics

Last synced: 30 Sep 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: 29 Sep 2024