Reproducible foundation-model research framework

An open-source Python framework for taking foundation-model research from data curation through training and evaluation while recording every step, including failed experiments.

From ManuAGI - AutoGPT Tutorials — Trending Open-Source GitHub Projects : Archify, Marin, Codex, Coolify & CarWatch #287 at 02:28

Problem: Model research can be difficult to reproduce and audit when data processing, training, evaluation, and failed experiments are not recorded.

For: AI researchers and engineering teams training foundation models.

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