autogluon/autogluon-assistant

Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation

67
/ 100
Established

This tool helps data scientists, machine learning engineers, and researchers automate the entire process of building machine learning models. You provide raw, diverse data (like images, text, or tables), and it automatically designs, trains, and optimizes a high-quality machine learning solution without manual steps. It's designed for practitioners who need to quickly get a working model from complex datasets.

257 stars. Available on PyPI.

Use this if you need to rapidly develop a machine learning model from raw, multimodal data and want to minimize manual effort in data preparation, model selection, and hyperparameter tuning.

Not ideal if you require fine-grained, manual control over every step of your machine learning pipeline or if your current environment is not Linux-based.

machine-learning-automation predictive-modeling data-science deep-learning multimodal-data
Maintenance 10 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 22 / 25

How are scores calculated?

Stars

257

Forks

50

Language

Python

License

Apache-2.0

Last pushed

Jan 30, 2026

Commits (30d)

0

Dependencies

36

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