AutoGluon: Fast and Accurate ML in 3 Lines of Code

Back-end interface for PANDORA https://github.com/genular/pandora

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Automated modeling and machine learning framework FEDOT

An open source python library for automated feature engineering

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

An open source python library for automated prediction engineering

Library for Semi-Automated Data Science

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

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

A novel Inductive Logic Programming(ILP) system based on Meta Inverse Entailment in Python.

Generative AutoML for Tabular Data

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners

MLimputer - Null Imputation Framework for Supervised Machine Learning

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

AutoML library for deep learning

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

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