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GitHub / ArlindKadra / DPL

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

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Stars: 0
Forks: 0
Open issues: 0

License: apache-2.0
Language: Python
Size: 13.7 MB
Dependencies parsed at: Pending

Created at: 6 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 8 days ago

Topics: hpo, hyperparameter-optimization, learning-curve-prediction, multi-fidelity, scaling-laws

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