Search Packages

torch-uncertainty

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

dagsim

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

edaspy

Estimation of Distribution algorithms Python package

berets

Base Editing screens' Activity-Normalized variant effect size estimation

lgnpy

Linear Gaussian 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

bayesian-inference

Bayesian Inference library over network

kassandra

Package for implementing bayesian deep learning models in python.

ppgm

Graph: Representation, Learning, and Inference Methods

crisprep

Base Editing screens' Activity-Normalized variant effect size estimation