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conda-forge.org : adaptive
adaptive is an open-source Python library designed to make adaptive parallel function evaluation simple. With adaptive you just supply a function with its bounds, and it will be evaluated at the "best" points in parameter space. With just a few lines of code you can evaluate functions on a computing cluster, live-plot the data as it returns, and fine-tune the adaptive sampling algorithm.
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purl: pkg:conda/adaptive
Keywords: active-learning, adaptive, adaptive-learning, adaptive-sampling, live-plots, machine-learning, parallel, parallel-computing, python
License: BSD-3-Clause
Latest release: over 1 year ago
First release: over 1 year ago
Dependent packages: 1
Dependent repositories: 1
Stars: 752 on GitHub
Forks: 45 on GitHub
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Last synced: about 2 hours ago