AutoGluon

AWS open-source AutoML toolkit for tabular, text, image, and multimodal data

AI InfrastructureFree

AutoGluon is an open-source AutoML toolkit developed by AWS that automatically trains and fine-tunes deep learning and ML models for tabular, text, image, and multimodal datasets with minimal code. Users provide their dataset and task type, and AutoGluon handles model selection, hyperparameter tuning, and ensemble construction to produce state-of-the-art performance. Data scientists, machine learning practitioners, and researchers who want AutoML without a SaaS dependency use AutoGluon to quickly establish strong baselines and explore model performance across multiple frameworks.

Key Features

• ✓AutoML
• ✓Tabular data
• ✓Image classification
• ✓NLP support
• ✓Ensemble learning