scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
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library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
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Latest capture 2026-07-08 03:03
6 captures since 2026-05-22
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Scanned 2026-07-08 03:03
CMakeLists.txt
c-cpp ecosystem,
7 dependencies
doc/requirements.txt
python ecosystem,
1 dependency
test/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
src/octave/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
src/swig/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
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Sequential model-based optimization with a `scipy.optimize` interface
Distributed Asynchronous Hyperparameter Optimization in Python
A Python implementation of global optimization with gaussian processes.
Safe Bayesian Optimization
Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .
optimization routines for hyperparameter tuning