hma
HMA (Humanize MLE Agents): alternating native coding agents over a shared workspace on MLE-bench — paper experiment code
This repository provides the experiment code for Humanize MLE Agents (HMA). HMA alternates two native coding agents over a shared machine-learning workspace, so each agent can build on the other's code, models, and candidate solutions.
⚡ How to use hma
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/humanfia-hmaCapabilities
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