{"id":25850667,"url":"https://github.com/axsk/generators","last_synced_at":"2026-05-13T06:34:18.215Z","repository":{"id":191452311,"uuid":"406326572","full_name":"axsk/generators","owner":"axsk","description":"Early work on the AJC and coherence (2019/2020) also with weather data","archived":false,"fork":false,"pushed_at":"2021-10-29T10:15:45.000Z","size":13312,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-03-24T06:10:17.054Z","etag":null,"topics":["ajc","coherence","julia","pcca","scrapbook","sqra","weather","zib"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/axsk.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2021-09-14T10:44:43.000Z","updated_at":"2023-08-29T16:01:16.000Z","dependencies_parsed_at":"2023-08-30T01:12:22.981Z","dependency_job_id":null,"html_url":"https://github.com/axsk/generators","commit_stats":null,"previous_names":["axsk/generators"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axsk%2Fgenerators","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axsk%2Fgenerators/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axsk%2Fgenerators/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axsk%2Fgenerators/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/axsk","download_url":"https://codeload.github.com/axsk/generators/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241367645,"owners_count":19951442,"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","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":["ajc","coherence","julia","pcca","scrapbook","sqra","weather","zib"],"created_at":"2025-03-01T12:32:00.076Z","updated_at":"2026-05-13T06:34:18.189Z","avatar_url":"https://github.com/axsk.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Generators\n\nExperiments around the EAMC and space-time committors / coherence.\nThe state of this repository is pretty messy and is left here for archival use.\nThe Augmented jump chain code has been rewritten for python and julia in `cmdtools` and `birthdeath`\n\nNotable features: Coherence of meteorology data, PCCA+, Bickley Jet\n\n## Contents\n\n### Source\n- Galerkin discretization of the Augmented Jump Chain (called Embedded augmented markov chain (EAMC) during that time): `src/galerkin.jl`\n- EAMC reconstruction of the Koopman operator by space-time committor: `src/committor.jl`\n- EAMC reconstruction of the Perron-Frobenius operator by jump activity: `src/perronfrobenius.jl`\n- Gillespie like simulation of trajectories of the EAMC: `src/gillespie.jl`\n- Opimization of space-time committors: `src/main.jl`\n- PCCA+ implementation: `src/pccap.jl`\n- Some interactive (?) Makie visualization: `src/plot.jl`\n\n### (Nonautonomous) Models\n- 4 Cell barrier on-off switching: `barrierswitch.jl`\n- The bickley jet: `bickleyjet.jl`\n- Fluid flow governed by vectorfield: `continuity.jl`\n- Overdamped Langevin via SQRA, also shifting and rising doublewells: `langevin.jl`\n- 1d sqra: `mysqra.jl`\n\n### Notebooks\n- `example*`: EAMC plots of different systems\n- `bickley*`: bickley coherence, plots not saved\n- `weather-inspect`: look at the weather data\n- `weather-kmeans/pcca`: clustering of the eamc for coherent sets\n- `weather-optimize`: clustering via optimization criterion\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxsk%2Fgenerators","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faxsk%2Fgenerators","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxsk%2Fgenerators/lists"}