GPmp: the Gaussian process micro package
-
Updated
Nov 3, 2026 - Python
GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
computer-experimentsHere are 5 public repositories matching this topic...GPmp: the Gaussian process micro package
Space-filling Design of Experiments for Python: optimal sampling for discrete, continuous, integer and mixed parameter spaces
python scientific-computing sampling design-of-experiments doe experimental-design latin-hypercube-sampling sequential-design computer-experiments surrogate-modeling space-filling-designs
Companion R code for the book Bayesian Optimization with Application to Computer Experiments
GPmp extensions
bayesian-optimization expected-improvement sequential-design computer-experiments probability-of-failure sequential-design-of-experiments probability-of-excursion bayesian-subset-simulation
Lattice-based design construction for computer experiments and Gaussian-process emulation.
statistics sampling voronoi gaussian-processes experimental-design computer-experiments space-filling-designs lattice-design
Add this topic to your repoTo associate your repository with the computer-experiments topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |