Cornell-MOE

wujian16

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

optimization

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277 Stars

64 Forks

18 Watchers

C++ Language

other License

100 SrcLog Score

Cost to Build

$2.19M

Market Value

$4.35M

How is this calculated?

Growth over time

14 data points · 2021-07-01 → 2026-11-01

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What is the wujian16/Cornell-MOE GitHub project? Description: "A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.". Written in C++. Explain what it does, its main use cases, key features, and who would benefit from using it.