There are 18 repositories under automated-feature-engineering topic.
An open source python library for automated feature engineering
A curated list of automated machine learning papers, articles, tutorials, slides and projects
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.
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper
An open source python library for automated feature engineering based on Genetic Programming
A lightweight and visual AutoML system
A simplified version of featuretools for Spark
Predict the poverty of households in Costa Rica using 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.
Automated creation of EntitySets from relational data stored in SQL databases
The MLOps platform for innovators 🚀
A curated list of awesome automated machine learning resources
Predicting housing prices in Iowa using Python/Pandas/linear regression within SKLearn.