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A novel, open-source platform enabling organizations to define per-job optimization problems for ML training (hardware allocation, data-loading strategies, batch scheduling, hyperparameter budgets, gradient compression patterns) as Category-Theory-in
2 Commits 1 Branch 0 Tags 35 KiB
Python 98.5%
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README.md

CatOpt-Flow: Category-Theoretic Compositional Optimizer