从 65,726 个高星开源项目里，
找到你要的下一个。

nni 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打开源免费。

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression …

tpot 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

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

featuretools 是用 Python 编写的学习资料，用于系统学习与查阅，主打开源免费。

An open source python library for automated feature engineering

Alink 是用 Java 编写的学习资料，用于系统学习与查阅。

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

mljar-supervised 是用 Python 编写的学习资料，用于系统学习与查阅。

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！

Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！

hamilton 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打适合生产环境。

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. …

:book: [译] 面向机器学习的特征工程

:book: [译] 面向机器学习的特征工程

metarank 是用 Scala 编写的 AI 工具，用于人工智能方向的建模与推理。

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A frie…

SGX-Full-OrderBook-Tick-Data-Trading-Strategy 是用 Jupyter Notebook 编写的交易类项目，用于商城、支付与交易场景。

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

feature_engine 是用 Python 编写的学习资料，用于系统学习与查阅，主打开源免费。

Feature engineering and selection open-source Python library compatible with sklearn.

TransmogrifAI 是用 Scala 编写的 AI 工具，用于人工智能方向的建模与推理，主打轻量。

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache …

featureform 是用 Go 编写的学习资料，用于系统学习与查阅。

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

feathr 是用 Scala 编写的 AI 工具，用于人工智能方向的建模与推理，主打可伸缩、适合生产环境。

Feathr – A scalable, unified data and AI engineering platform for enterprise

intelligent-trading-bot 是用 Python 编写的交易类项目，用于商城、支付与交易场景。

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

Deep_Learning_Machine_Learning_Stock 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

OpenMLDB 是用 C++ 编写的数据库工具，用于数据存储与查询，主打开源免费。

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

feature-engineering-and-feature-selection 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

auto_ml 是用 Python 编写的学习资料，用于系统学习与查阅。

[UNMAINTAINED] Automated machine learning for analytics & production

AutoTS 是用 Python 编写的学习资料，用于系统学习与查阅。

Automated Time Series Forecasting

hopsworks 是用 Java 编写的学习资料，用于系统学习与查阅。

Hopsworks - Data-Intensive AI platform with a Feature Store

AutoDL 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

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

functime 是用 Python 编写的学习资料，用于系统学习与查阅。

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

NVTabular 是用 Python 编写的学习资料，用于系统学习与查阅，主打速度快。

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used…