Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

An open source python library for automated feature engineering

Featransform: Automated Feature Engineering for Supervised Machine Learning

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

An open source library using genetic algorithms for automated feature engineering and feature selection

An open source python library for automated feature engineering based on Genetic Programming

A curated list of automated machine learning papers, articles, tutorials, slides and projects

A lightweight and visual AutoML system

Automated creation of EntitySets from relational data stored in SQL databases

The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper

The MLOps platform for innovators 🚀

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.

Predict the poverty of households in Costa Rica using automated feature engineering.

Predicting housing prices in Iowa using Python/Pandas/linear regression within SKLearn.

A curated list of awesome automated machine learning resources

A simplified version of featuretools for Spark