An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

automated-machine-learning 开源项目推荐(194 个)
automated-machine-learning 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 194 个仓库3行代码中快速准确的ML
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
AutoML library for deep learning
Automated Machine Learning with scikit-learn
An open source python library for automated feature engineering
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
用于表格数据上的AutoML的Python包,具有特征工程、超参数调优、简化和自动文档
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
只需一行代码即可自动可视化任何大小的任何数据集。 由Ram Seshadri创作。欢迎合作者。应请求授予许可。
[UNMAINTAINED] Automated machine learning for analytics & production
AIDE:代码空间中的人工智能驱动探索。实现人工智能研发自动化的机器学习工程代理。
Official Implementation of 'Fast AutoAugment' in PyTorch.
MLBox is a powerful Automated Machine Learning python library.
Fast and customizable framework for automatic ML model creation (AutoML)
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
整理的AutoResearch用例列表,附有优化痕迹和开源实现
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/automated-machine-learning。
- 该话题在 GitHub 上共有 194 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 8.6 万 Star,覆盖 3 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。