automated-machine-learning

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.

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

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

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

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