model-selection topic

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

joshspeagle

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

DeepWisdom

ML hyperparameters tuning and features selection, using evolutionary algorithms.

rodrigo-arenas

A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet sti...

smartcorelib

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

yzkang

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

cerlymarco

EvalML is an AutoML library written in python.

alteryx

Human-explainable AI.

BCG-X-Official

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

IngoScholtes

Efficient phylogenomic software by maximum likelihood

Cibiv