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.

Human-explainable AI.

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

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

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

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

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

Efficient phylogenomic software by maximum likelihood