scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
Appears on
Quick read
Latest capture 2026-10-06 03:13
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
9 observed captures since 2026-05-22. Observed captures are shown by default.
Stars from first capture +59
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Sequential model-based optimization with a `scipy.optimize` interface
📦 R package to simulate neutral landscape models 🏔
A Python implementation of global optimization with gaussian processes.
Distributed Asynchronous Hyperparameter Optimization in Python
A collection of libraries to optimise AI model performances
Safe Bayesian Optimization