Search Packages

pynets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

dashifyml

A lightweight tool to manage and track your large scale machine leaning experiments

logiprune

Smarter AI training through propositional logic and information theory.

keras-grid-search-cacheable

Reducción de tiempo de ejecución de los algoritmos de Machine Learning con búsqueda de parámetros en GridSearch.