library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
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Sequential model-based optimization with a `scipy.optimize` interface
A Python implementation of global optimization with gaussian processes.
Distributed Asynchronous Hyperparameter Optimization in Python
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
