dejaml
DéjàML (DejaML): AI agents that reproduce machine-learning paper results in a sealed, offline Docker lab, with blinded evidence-backed verdicts.
DéjàML (also written DejaML or Deja ML) is an open-source tool for ML paper reproducibility. It takes a machine-learning research paper, finds its GitHub code, re-runs the experiment behind one of its published numbers in a sealed, offline Docker lab with blinded AI agents, and tells you honestly whether the result came back.
⚡ How to use dejaml
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/aayushbhat07-dejamlCapabilities
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