mlcode-ai is a Python package providing an AI coding agent specialized for machine learning workflows. It can autonomously create, execute, and evaluate Jupyter notebooks while iteratively improving ML models. Built for data scientists and ML engineers who want to accelerate experimentation and model development through natural language interaction with their coding environment.
In the AI & ML space, mlcode-ai takes a focused approach. Manually creating, debugging, and iterating on machine learning notebooks and models without AI assistance. mlcode-ai is an open-source project aimed at data scientists. The project is open source (MIT). mlcode-ai is available on the command line.
Alejandro AO builds and maintains mlcode-ai, and the product first shipped in 2026. The project is developed in the open on GitHub with 1.7k stars and 588 commits in the last 90 days. Among its 4 catalogued features are Notebook Generation, Code Execution, and Model Evaluation. It exposes integrations via a public API.
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