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.

AutoML library for deep learning

Fast and Accurate ML in 3 Lines of Code

Automated Machine Learning with scikit-learn

An open source python library for automated feature engineering

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

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

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

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

[UNMAINTAINED] Automated machine learning for analytics & production

Official Implementation of 'Fast AutoAugment' in PyTorch.

MLBox is a powerful Automated Machine Learning python library.

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Fast and customizable framework for automatic ML model creation (AutoML)

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

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

LAMA - automatic model creation framework

Automated modeling and machine learning framework FEDOT

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