Auto vimlAutomatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
FlamlA fast and lightweight AutoML library.
LaleLibrary for Semi-Automated Data Science
HyperactiveA hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.
AutofeatLinear Prediction Model with Automated Feature Engineering and Selection Capabilities
TransmogrifaiTransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
AutoclintA specially designed light version of Fast AutoAugment
AuptimizerAn automatic ML model optimization tool.
RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
AutoalbumentAutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
XcessivA web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
MlboxMLBox is a powerful Automated Machine Learning python library.
TpotA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Awesome Automlcollecting related resources of automated machine learning here
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
AutodlAutomated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
FeaturetoolsAn open source python library for automated feature engineering
Smac3Sequential Model-based Algorithm Configuration
PbaEfficient Learning of Augmentation Policy Schedules
Hpbandstera distributed Hyperband implementation on Steroids
Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
AutovizAutomatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
mindwareAn efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
FEDOTAutomated modeling and machine learning framework FEDOT
autodoOfficial PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"
simplifaiFree automated deep learning for spreadsheets
Auto-SurpriseAn AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
AutoPrognosisCodebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
simon-frontend💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻
EvolutionaryForestAn open source python library for automated feature engineering based on Genetic Programming
empythyAutomated NLP sentiment predictions- batteries included, or use your own data
automlAutomated Machine Learning Framework for kdb+