AutoML-Agent
Overview
Open-source multi-agent LLM framework for end-to-end automated machine learning pipelines.
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AutoML-Agent is an open-source multi-agent framework that uses LLMs to automate the full ML pipeline—from data ingestion to model deployment. Designed for diverse data modalities, it decomposes tasks across specialized agents (e.g. prompt, data, model, operation), with retrieval‑augmented planning and multi-stage verification to ensure robust and deployable model solutions.
Autonomy level
83%
Reasoning: AutoML-Agent achieves high autonomy through its multi-agent architecture that automates the entire ML pipeline without manual intervention. It features specialized agents for data handling (retrieval, preprocessing, augmentation) and model tasks (search, HPO, deployment), using API calls to execute subtasks autonomously. The system incorporates ret...
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Some of the use cases of AutoML-Agent:
- Automating full ML workflows with natural‑language instructions.
- Building end‑to‑end AI models across vision, NLP, tabular, time‑series, graph.
- Leveraging modular agents for data, modeling, deployment orchestration.
- Ensuring plan quality via retrieval‑augmented planning and verification.
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Popularity level: 64%
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