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.

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A collection of computer vision pre-trained models.

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

LAMA - automatic model creation framework

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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.

A unified interface for optimization algorithms and experiments

Human-explainable AI.

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Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

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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

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

⚠️ DEPRECATED. The work in this repository was merged into the main TPOT project as version 1.0. Please visit the active repository here: https://github.com/EpistasisLab/tpot/tree/main A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.