Bayesian Network Python Packages

nbn

A PyTorch-native Bayesian network library where each mechanism is learnt by a neural network. Every node carries a learnable, batched, GPU-resident conditional distribution; every query is a batched tensor operation; inference and parameter learning both run end-to-end on cuda.

torch-uncertainty

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

fxtensor-bayesnet

Config-driven inference for discrete Bayesian networks: scenario comparison, Bayesian updating, root-cause inference, daily snapshots and figures (built on fxtensor-salmon)

berets

Base Editing screens' Activity-Normalized variant effect size estimation

edaspy

Estimation of Distribution algorithms Python package

dagsim

A framework and specification language for simulating data based on graphical models

lgnpy

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

crispr-bean

Base Editing screens' Activity-Normalized variant effect size estimation

qdscreen

Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018)

bayesian-networks

Implementation for bayesian network

nxuskit-py

Provider-agnostic AI SDK for Rust, Go, Python, and C ABI: LLMs, local models, CLIPS rules, Z3 solvers, Bayesian networks, ZEN decision tables, and nxuskit-cli.

bayesian-inference

Bayesian Inference

kassandra

kassandra is a project for easy bayesian deep learning

ppgm

Graph: Representation, Learning, and Inference Methods

crisprep

Base Editing screens' Activity-Normalized variant effect size estimation