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

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

An open source python library for automated feature engineering

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

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: [译] 面向机器学习的特征工程

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

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

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

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

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

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

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

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

[UNMAINTAINED] Automated machine learning for analytics & production

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

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

Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.

Automated Time Series Forecasting

Hopsworks - Data-Intensive AI platform with a Feature Store

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

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

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

An intuitive library to extract features from time series.

LAMA - automatic model creation framework

Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, explore these resources to deepen your knowledge and skills.

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

EvalML is an AutoML library written in python.