Bayesian Network Python Packages

torch-uncertainty

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

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.

dagsim

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

edaspy

EDAspy is a Python package that implements Estimation of Distribution Algorithms. EDAspy allows toeither use already existing implementations or customize the EDAs baseline easily building it bymodules so new research can be easily developed. It also has several benchmarks for comparisons.

berets

Base Editing screens' Activity-Normalized variant effect size estimation

crispr-bean

Base Editor screen analysis with guide Activity Normalization

bayesian-networks

Implementation for bayesian network

lgnpy

Linear Gaussian Networks - Inference, Parameter Learning and Representation

qdscreen

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

bayesian-inference

Bayesian Inference

kassandra

Package for implementing bayesian deep learning models in python.

ppgm

Graph: Representation, Learning, and Inference Methods

crisprep

Tools for analyzing CRISPR data with REPorter edits