Source: Axel de Romblay, 2019 MLBox 0.8.2

Awesome AutoML

Awesome AutoML is a curated list of automated machine learning libraries and tools, inspired by awesome-automl-papers, awesome-AutoML-and-Lightweight-Models, awesome-AutoML, awesome-automl and other repositories.

Comparison

Labels

	Supported	Not supported	Unknown
Label	✅	➖	❔

Table

Name	Source	Classification	Regression	Clustering	Time series	Image Classification	Object Detection	NLP Tasks	Data cleaning	Feature Engineering	Feature Selection	Hyperparameter Tuning	Model Selection	Model Evaluation
AutoGluon	https://github.com/awslabs/autogluon	✅	✅	➖	➖	✅	✅	✅	✅	✅	✅	✅	✅	✅
AutoKeras	https://github.com/keras-team/autokeras	✅	✅	➖	➖	✅	➖	➖	✅	✅	✅	✅	✅	✅
Auto-PyTorch	https://github.com/automl/Auto-PyTorch	✅	✅	➖	➖	✅	➖	➖	✅	✅	✅	✅	✅	✅
auto-sklearn	https://github.com/automl/auto-sklearn	✅	✅	➖	➖	➖	➖	➖	✅	✅	✅	✅	✅	✅
FEDOT	https://github.com/nccr-itmo/FEDOT	✅	✅	✅	✅	❔	❔	➖	❔	❔	✅	✅	✅	✅
LightAutoML	https://github.com/sberbank-ai-lab/LightAutoML	✅	✅	➖	➖	➖	➖	✅	✅	✅	✅	✅	✅	✅
NNI	https://github.com/microsoft/nni	✅	✅	❔	❔	➖	➖	➖	❔	✅	✅	✅	❔	❔
TPOT	https://github.com/EpistasisLab/tpot	✅	✅	➖	➖	➖	➖	➖	➖	✅	✅	✅	✅	➖

Latest update

Updated on 11. January 2025 07:22:56 UTC