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spack.io : py-ax-platform
Adaptive experimentation is the machine-learning guided process of iteratively exploring a (possibly infinite) parameter space in order to identify optimal configurations in a resource-efficient manner. Ax currently supports Bayesian optimization and bandit optimization as exploration strategies. Bayesian optimization in Ax is powered by BoTorch, a modern library for Bayesian optimization research built on PyTorch.
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purl: pkg:spack/py-ax-platform
License: Other
Latest release: about 1 year ago
First release: about 1 year ago
Stars: 2,040 on GitHub
Forks: 255 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 23 days ago