model-selection

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

A collection of computer vision pre-trained models.

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

LAMA - automatic model creation framework

EvalML is an AutoML library written in python.

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

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

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Human-explainable AI.

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

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Time Series Cross-Validation -- an extension for scikit-learn

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

State-of-the art Automated Machine Learning python library for Tabular Data

Efficient phylogenomic software by maximum likelihood