{"id":25850673,"url":"https://github.com/axsk/augmented-jump-chain","last_synced_at":"2026-05-07T01:36:11.337Z","repository":{"id":191435641,"uuid":"287280559","full_name":"axsk/augmented-jump-chain","owner":"axsk","description":"Continuation of AJC work (2020-21) with trips to hitting time optimization, spa, sqra, isokann, committor neural network, sparse boxes, voronoi linear program, meta sgd, adaptive euler maruyama","archived":false,"fork":false,"pushed_at":"2023-08-29T15:19:48.000Z","size":16122,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-06-04T04:10:44.215Z","etag":null,"topics":["ajc","committor","isokann","julia","neural-network","optimization","paper","python","scrapbook","sqra","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":"2020-08-13T12:58:28.000Z","updated_at":"2023-08-29T16:11:34.000Z","dependencies_parsed_at":"2023-08-29T23:37:03.155Z","dependency_job_id":null,"html_url":"https://github.com/axsk/augmented-jump-chain","commit_stats":null,"previous_names":["axsk/augmented-jump-chain"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/axsk/augmented-jump-chain","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axsk%2Faugmented-jump-chain","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axsk%2Faugmented-jump-chain/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axsk%2Faugmented-jump-chain/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axsk%2Faugmented-jump-chain/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/axsk","download_url":"https://codeload.github.com/axsk/augmented-jump-chain/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axsk%2Faugmented-jump-chain/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262357524,"owners_count":23298459,"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","committor","isokann","julia","neural-network","optimization","paper","python","scrapbook","sqra","zib"],"created_at":"2025-03-01T12:32:07.084Z","updated_at":"2026-05-07T01:36:06.305Z","avatar_url":"https://github.com/axsk.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# augmented-jump-chain (former name `birthdeath`)\n\nAmongst the rest, most prominently features the code for the [The Augmented Jump Chain](https://doi.org/10.1002/adts.202000274) (see [src/ajcs.py](src/ajcs.py))\n\n## Contents\n### Part 1 (python)\n- **EAMC** + Paper Plots\n- Hitting times + Optimization (ADAM, RProp, Momentum, RMSProp)\n- Adjoint ODE solver as in SUNDIALS (for optimization of hitting times?)\n- Temporal Gillespie\n- SPA\n- SQRA (ndtorus, perturbation, derivatives for the adjoint problem)\n\n### Part 2 (julia) (most is now in Sqra.jl)\n- ISOKANN experiments\n- Committor neural network\n- Autodiff Bug MWEs\n- SparseBoxes, Sqra, picking\n- voronoi neighborhood by linear program of H. Lie\n- meta SGD\n- adaptive euler maruyama\n\n# History\nWIP from 07.20 to 06.21\n\nContinuation of https://github.com/axsk/generators and in a similar dirty state\nMost usefull ideas where ported to ttps://github.com/axsk/Sqra.jl\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxsk%2Faugmented-jump-chain","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faxsk%2Faugmented-jump-chain","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxsk%2Faugmented-jump-chain/lists"}