Gene regulatory network based on Bayesian network structure in single-cell transcriptomics

Bayesian Belief Network library and CLI/TUI tool for Go

Introduction to Artificial Intelligence from the scratch, featuring hands-on implementations of essential algorithms.

OT/aGrUM module

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

This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

Bayesian network analysis in R

Activity-normalized variant effect size estimation from pooled CRISPR screens

University assignments and sandbox projects connected to machine learning study.

Search, Knowledge, Uncertainty, Optimization, Learning, Neural Networks and Language.

An R Package that provides a binding for the Netica API

Estimation of Distribution algorithms Python package

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

This project implements both exact and approximate inference techniques for Bayesian Networks using enumeration and rejection sampling, respectively. It processes Bayesian Network structures in XMLBIF format, accepting command-line inputs to compute the posterior distribution of a query variable given observed evidence.

Developed an advanced scoring and network model using Bayesian analysis to identify Key Opinion Leaders (KOLs) for a neurology product launch

Bayesian Network Software for Genetic Analyses

Implementation of various inference and learning algorithms for Probabilistic Graphical Models (PGMs) without off-the-shelf libraries. Also includes projects from the PGM specialization on Coursera offered by Stanford.

Recursos sobre manejo de la incertidumbre y probabilidad por un agente inteligente, módulo de Modelos de Inteligencia Artificial