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Syne Tune is a library for large-scale hyperparameter optimization (HPO) that supports state-of-the-art methods like multi-fidelity optimization, multi-objective optimization, transfer learning, and population-based training. It provides tooling for running large-scale experiments locally or on SLURM clusters, along with an extensive collection of surrogate and tabular benchmarks for efficient HPO simulation.
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