{"id":19120252,"url":"https://github.com/i4ds/flaresense","last_synced_at":"2025-04-19T02:31:33.241Z","repository":{"id":196476317,"uuid":"696148178","full_name":"i4Ds/FlareSense","owner":"i4Ds","description":"ML-Powered Solar Flare Classification with e-Callisto.","archived":true,"fork":false,"pushed_at":"2024-01-18T16:09:31.000Z","size":11972,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-22T12:42:46.469Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/i4Ds.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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}},"created_at":"2023-09-25T07:25:43.000Z","updated_at":"2024-06-07T09:16:10.000Z","dependencies_parsed_at":null,"dependency_job_id":"8e567827-3f4c-461d-b2aa-c6d51d781a92","html_url":"https://github.com/i4Ds/FlareSense","commit_stats":null,"previous_names":["solar-flare-classification/flaresense","i4ds/flaresense"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i4Ds%2FFlareSense","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i4Ds%2FFlareSense/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i4Ds%2FFlareSense/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i4Ds%2FFlareSense/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/i4Ds","download_url":"https://codeload.github.com/i4Ds/FlareSense/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249593250,"owners_count":21296691,"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":[],"created_at":"2024-11-09T05:13:34.735Z","updated_at":"2025-04-19T02:31:30.577Z","avatar_url":"https://github.com/i4Ds.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Pro5D - Klassifikation von Sonneneruptionen mittels Machine Learning und e-Callisto Netzwerk\nDieses Projekt wird im Rahmen der Studiengangs B.Sc. Data Science der Fachhochschule Nordwestschweiz bearbeitet.\n\n## Projektarbeiter\nDieses Projekt wird von folgenden Studenten bearbeitet:\n| Name                 | GitHub Handle                                                |\n| :------------------- | :----------------------------------------------------------- |\n| Patrick Schürmann    | [@patschue](https://github.com/patschue)                     |\n| Gabriel Torres Gamez | [@gabrieltorresgamez](https://github.com/gabrieltorresgamez) |\n\n## Taskboard\nHier geht es zum Projekt Taskboard mit allen Tasks und Issues:\n\n[Link zum Taskboard](https://github.com/orgs/i4Ds/projects/11)\n\n## Zotero\nHier geht es zu unserer Zotero Gruppe:\n\n[Link zu Zotero](https://www.zotero.org/groups/5202251/pro5d_23hs_i4ds22/library)\n\n## Dataset\nHier geht es zum 15 Minuten Dataset:\n[Link zum Dataset](https://huggingface.co/datasets/StellarMilk/ecallisto-bursts)\n\nNotiz: Der Datensatz wird bei einigen Notebooks automatisch heruntergeladen.\n\n## DagsHub\nHier geht es zu unserer DagsHub Organisation: \n\n[Link zur Organisation](https://dagshub.com/org/FlareSense/home)\n\n## Repository Setup Instructions\n1. Clone the repo.\n2. Run `make reqs` to install required python packages.\n\n### If you want to use DagsHub:\n3. Setup the DVC credentials using DagsHub.\n![Setup DVC Credentials](https://i.imgur.com/BgCl22U.png)\n4. Run `make pull` to pull the data from DagsHub.\n5. You're ready to start developing!\n\n### Datamanagement with DagsHub\nThe data in this repo is managed via DVC. Here are some useful commands:\n- `make pull` - Pulls the data from DagsHub.\n- `make relink` - After changes in the DVC Folders (data) this command relinks the files in the repo.\n- `make push` - Pushes the data to DagsHub.\n\nBefore committing changes to the data folder, make sure to run `make relink` to update the links to the data.\nAfterwards, add, commit and push the changes to the repo (using git).\nFinally, run `make push` to push the data to DagsHub.\n\n## Projekt Organisation\n\n    ├── .dvc               \u003c- DVC Settings, don't touch.\n    ├── data\n    │   ├── processed      \u003c- The final, canonical data sets for modeling.\n    │   └── raw            \u003c- The original, immutable data dump.\n    ├── notebooks          \u003c- Jupyter notebooks. Naming convention is a number (for ordering)\n    │                         and a short `-` delimited description, e.g.\n    │                         `01-initial-data-exploration`.\n    ├── references         \u003c- Data dictionaries, manuals, and all other explanatory materials.\n    ├── slurm              \u003c- Slurm scripts for running the code on the i4Ds cluster.\n    ├── src                \u003c- Source code for use in this project.\n    ├── .dvcignore         \u003c- Files and directories to ignore by DVC.\n    ├── .gitignore         \u003c- Files and directories to ignore by Git.\n    ├── data.dvc           \u003c- DVC data/ folder registry.\n    ├── LICENSE            \u003c- GNU General Public License v3.0.\n    ├── Makefile           \u003c- Makefile with commands.\n    ├── params.yml        \u003c- The parameters for the data pipeline.\n    ├── README.md          \u003c- The top-level README for developers using this project.\n    └── requirements.txt   \u003c- The requirements file for reproducing the analysis environment.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fi4ds%2Fflaresense","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fi4ds%2Fflaresense","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fi4ds%2Fflaresense/lists"}