{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"water-surf","owner":"geo-smart","isFork":true,"description":"Image dataset relalignment workflow with computer vision, plus automated river segmentation using Meta's SAM.","allTopics":["geospatial","semantic-segmentation","segment-anything"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-29T06:30:51.271Z"}},{"type":"Public template","name":"oceanography","owner":"geo-smart","isFork":true,"description":"Rob's oceanography project translated into Geo-Smart Jupyter Book space","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":10,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-27T16:10:59.804Z"}},{"type":"Public","name":"swe-workflow-book","owner":"geo-smart","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":2,"issueCount":0,"starsCount":1,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-27T16:06:11.647Z"}},{"type":"Public","name":"SnowCast","owner":"geo-smart","isFork":false,"description":"SnowCast team SkiingPeople","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":1,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-27T16:04:33.138Z"}},{"type":"Public","name":"swe_site","owner":"geo-smart","isFork":false,"description":"SWE website","allTopics":[],"primaryLanguage":{"name":"JavaScript","color":"#f1e05a"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-27T01:51:50.070Z"}},{"type":"Public","name":"scm_geosmart_use_case","owner":"geo-smart","isFork":false,"description":"ML for Snow Cover Mapping: A GeoSMART Use Case Book","allTopics":["python","machine-learning","earth-science"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":2,"starsCount":3,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-24T03:04:59.736Z"}},{"type":"Public","name":"website-2024","owner":"geo-smart","isFork":false,"description":"Event-specific jupyterbook for 2024 hackweek","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":1,"issueCount":0,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T22:36:29.172Z"}},{"type":"Public","name":"ocean","owner":"geo-smart","isFork":false,"description":" ocean data analysis -- photic zone emphasis -- based on the OOI Regional Cabled Array shallow profilers","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":1,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-16T19:31:15.754Z"}},{"type":"Public","name":"_2024-hackweek-website","owner":"geo-smart","isFork":false,"description":"This was a landing page for the GeoSmart Hackweek website 2024","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-07T19:52:30.283Z"}},{"type":"Public","name":"splashpage","owner":"geo-smart","isFork":false,"description":"Splash page for hackweek event advertisement and links to past events ","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-07T19:51:35.627Z"}},{"type":"Public","name":"AI-for-sea-ice-forecasting","owner":"geo-smart","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-22T17:50:38.606Z"}},{"type":"Public","name":"Flood-risk-ML","owner":"geo-smart","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":5,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-22T17:34:11.615Z"}},{"type":"Public","name":"AI-for-physics-inspired-hydrology-modeling","owner":"geo-smart","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-22T17:11:27.312Z"}},{"type":"Public","name":"snowcover","owner":"geo-smart","isFork":false,"description":"Mapping Snow Cover Using UNet-Based Deep Learning Architecture (SnowCoverNet)","allTopics":["geosmart-snow"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-18T00:49:55.768Z"}},{"type":"Public template","name":"GeoSmart_ML_Tutorial","owner":"geo-smart","isFork":true,"description":"Snow-ML jupyter notebook ","allTopics":["geosmart-tutorial","geosmart-snow"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":10,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T17:42:39.112Z"}},{"type":"Public","name":"2023-hackweek-website","owner":"geo-smart","isFork":false,"description":"GeoSmart Hackweek website 2023","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":12,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-15T16:52:43.310Z"}},{"type":"Public","name":"xai_sedimentation_use_case_book","owner":"geo-smart","isFork":false,"description":"This is the Jupyter book for the XAI use case in sedimentation.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":1,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-14T21:35:01.273Z"}},{"type":"Public","name":"flood-risk-ml-tutorial","owner":"geo-smart","isFork":false,"description":"A machine learning tutorial demonstrating building classification for flood risk assessment","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-13T18:04:08.844Z"}},{"type":"Public","name":"geo-smart.github.io","owner":"geo-smart","isFork":false,"description":"Organization website and blog for GeoSMART, dedicated to expanding the role of ML in the geosciences.","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-08T06:31:16.471Z"}},{"type":"Public","name":"planet-snowcover-geoweaver","owner":"geo-smart","isFork":false,"description":"Geoweaver workflow replication of planet snow cover pipelines","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-05T04:45:56.292Z"}},{"type":"Public","name":"Snow-Extrapolation","owner":"geo-smart","isFork":false,"description":"Improve NSM prediction performance in the Sierra Nevada mountains through domain constraints and the exploration of different ML algorithms.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":17,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-17T15:51:20.300Z"}},{"type":"Public","name":"mlgeo-book","owner":"geo-smart","isFork":false,"description":"Student version of the GeoSMART curriculum book for ESS 469/569 with exercises left blank","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":3,"starsCount":3,"forksCount":3,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-01T18:02:51.491Z"}},{"type":"Public","name":"spacetime-elevation","owner":"geo-smart","isFork":false,"description":"Spatiotemporal prediction of surface elevation changes on icy terrain (glacier, snow) from repeat DEMs","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":9,"forksCount":3,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-27T07:00:25.107Z"}},{"type":"Public","name":"graphcast","owner":"geo-smart","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":514,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-22T21:51:46.590Z"}},{"type":"Public","name":"crunchy-snow","owner":"geo-smart","isFork":false,"description":"Neural networks for Sentinel-1 SAR backscatter snow depth retrieval","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":7,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-11T20:54:56.239Z"}},{"type":"Public","name":"swe_forecasting_prod","owner":"geo-smart","isFork":false,"description":"Production oriented SWE forecasting using machine learning and Geoweaver","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":3,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-28T16:13:10.291Z"}},{"type":"Public","name":"fair-workflow-geoweaver-quick-start","owner":"geo-smart","isFork":false,"description":"This repo provides a Jupyter book walking through how to use Geoweaver to create and manage your AI workflows","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-30T13:58:04.674Z"}},{"type":"Public","name":"snowcoverHLS","owner":"geo-smart","isFork":false,"description":"High spatio-temporal mapping of snowcover","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-28T22:12:31.202Z"}},{"type":"Public","name":"administrative","owner":"geo-smart","isFork":false,"description":"scripts to manage hackweek admin and logistics","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-15T19:42:41.367Z"}},{"type":"Public template","name":"sample_project_repository","owner":"geo-smart","isFork":true,"description":"Project template for Hackweek projects","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":10,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-13T00:44:33.736Z"}}],"repositoryCount":59,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}