{"id":31847737,"url":"https://github.com/mizuhoaoki/gaussian_process","last_synced_at":"2025-10-12T09:54:26.861Z","repository":{"id":246531276,"uuid":"807657366","full_name":"MizuhoAOKI/gaussian_process","owner":"MizuhoAOKI","description":"gaussian process examples","archived":false,"fork":false,"pushed_at":"2025-07-01T05:51:33.000Z","size":5001,"stargazers_count":24,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-01T06:32:24.398Z","etag":null,"topics":["bayesian-optimization","gaussian-processes","path-following","pid","pid-control","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MizuhoAOKI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-05-29T14:19:39.000Z","updated_at":"2025-07-01T05:51:37.000Z","dependencies_parsed_at":"2024-08-03T08:48:34.354Z","dependency_job_id":"581db3b0-1ca1-4eaf-80dc-d329cd422f6c","html_url":"https://github.com/MizuhoAOKI/gaussian_process","commit_stats":null,"previous_names":["mizuhoaoki/gaussian_process"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/MizuhoAOKI/gaussian_process","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MizuhoAOKI%2Fgaussian_process","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MizuhoAOKI%2Fgaussian_process/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MizuhoAOKI%2Fgaussian_process/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MizuhoAOKI%2Fgaussian_process/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MizuhoAOKI","download_url":"https://codeload.github.com/MizuhoAOKI/gaussian_process/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MizuhoAOKI%2Fgaussian_process/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279010964,"owners_count":26084840,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-12T02:00:06.719Z","response_time":53,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bayesian-optimization","gaussian-processes","path-following","pid","pid-control","python"],"created_at":"2025-10-12T09:54:09.111Z","updated_at":"2025-10-12T09:54:26.857Z","avatar_url":"https://github.com/MizuhoAOKI.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)\n[![Rye](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/rye/main/artwork/badge.json)](https://rye.astral.sh)\n\n# Gaussian Process\n\n## Dependency\n\n- [python](https://www.python.org/)\n  - version 3.10 or higher is recommended.\n\n- [rye](https://rye.astral.sh/)\n  - seting up python environment easily and safely.\n  - only `numpy`, `matplotlib`, `notebook` are needed to run all scripts in this repository.\n\n## Setup\n```sh\ngit clone https://github.com/MizuhoAOKI/gaussian_process.git\ncd gaussian_process\nrye sync\n```\n\n## Usage\n\n### Gaussian Process Regression\n\n```sh\ncd gaussian_process\nrye run jupyter notebook notebooks/gp_regression_1d.ipynb\n```\n\n\u003cimg src=\"./media/gpr_1d.png\" width=\"500px\" alt=\"gaussian process regression (1 dim)\"\u003e\n\n\n```sh\ncd gaussian_process\nrye run jupyter notebook notebooks/gp_regression_2d.ipynb\n```\n\u003cimg src=\"./media/gpr_2d_prediction.png\" width=\"500px\" alt=\"gaussian process regression (2 dim)\"\u003e\n\n\n### Bayesian Optimization\n\n```sh\ncd gaussian_process\nrye run jupyter notebook notebooks/bayesian_optimization_1d.ipynb\n```\n\nhttps://github.com/MizuhoAOKI/gaussian_process/assets/63337525/36b2d534-8d9f-4a5e-b26d-dc41e0032590\n\n```sh\ncd gaussian_process\nrye run jupyter notebook notebooks/bayesian_optimization_2d.ipynb\n```\n\nhttps://github.com/user-attachments/assets/6e01d71f-f5d6-4ca8-90a3-6792bac1da56\n\n```sh\ncd gaussian_process\nrye run jupyter notebook notebooks/bayesian_optimization_path_tracking.ipynb\n```\n\nhttps://github.com/user-attachments/assets/6d2cbb48-3d44-46c5-ba76-3fc29aa1ca1d\n\n## References\n\nGreat textbooks to learn Gaussian Process:\n\n- [持橋大地, 大羽成征 (2019). ガウス過程と機械学習. 講談社（MLP機械学習プロフェッショナルシリーズ）](https://www.kodansha.co.jp/book/products/0000147677)\n- [Rasmussen, C. E., \u0026 Williams, C. K. I. (2006). *Gaussian Processes for Machine Learning*. MIT Press](https://gaussianprocess.org/gpml/)\n- [Bishop, C. M. (2006). *Pattern Recognition and Machine Learning*. Springer (PDF via Microsoft Research)](https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmizuhoaoki%2Fgaussian_process","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmizuhoaoki%2Fgaussian_process","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmizuhoaoki%2Fgaussian_process/lists"}