{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"quackosm","owner":"kraina-ai","isFork":false,"description":"QuackOSM: an open-source Python and CLI tool for reading OpenStreetMap PBF files using DuckDB","allTopics":["python","openstreetmap","osm","geo","geospatial","pbf","duckdb"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":15,"starsCount":133,"forksCount":6,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-29T18:41:25.387Z"}},{"type":"Public","name":"srai-tutorial","owner":"kraina-ai","isFork":false,"description":"A tutorial for the SRAI library","allTopics":["python","machine-learning","tutorial","geospatial","artificial-intelligence","srai"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":2,"issueCount":13,"starsCount":15,"forksCount":3,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-14T16:10:13.559Z"}},{"type":"Public","name":"srai","owner":"kraina-ai","isFork":false,"description":"Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks","allTopics":["python","data-science","machine-learning","geo","geospatial","spatial","artificial-intelligence","spatial-analysis","srai"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":7,"issueCount":86,"starsCount":189,"forksCount":10,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-06T22:18:33.901Z"}},{"type":"Public","name":"srai-test-files","owner":"kraina-ai","isFork":false,"description":"Repository for files used in testing srai library. Ensures reproducibility for the tests.","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":"2024-04-25T11:46:15.749Z"}},{"type":"Public","name":"kraina-website","owner":"kraina-ai","isFork":false,"description":"Kraina Research Group website in Quarto","allTopics":["website","research-group","quarto","wust"],"primaryLanguage":{"name":"Lua","color":"#000080"},"pullRequestCount":0,"issueCount":11,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-20T13:49:38.593Z"}},{"type":"Public","name":"srai-sandbox","owner":"kraina-ai","isFork":true,"description":"Spatial Representations for Artificial Intelligence","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":10,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-25T18:33:11.740Z"}},{"type":"Public","name":"mkdocs-material","owner":"kraina-ai","isFork":true,"description":"Documentation that simply works","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":3342,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-19T10:35:11.394Z"}},{"type":"Public","name":"map_diffusion","owner":"kraina-ai","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-08-28T07:38:59.190Z"}},{"type":"Public","name":"Transfer-learning-approach-to-bicycle-sharing-systems-station-location-planning-using-OpenStreetMap","owner":"kraina-ai","isFork":false,"description":"Companion repository to the paper accepted at the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities ","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-08-13T20:06:24.707Z"}},{"type":"Public","name":".github","owner":"kraina-ai","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-08-12T07:51:13.889Z"}},{"type":"Public archive","name":"hex2vec","owner":"kraina-ai","isFork":false,"description":"hex2vec - Context-Aware Embedding H3 Hexagons withOpenStreetMap Tags","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":18,"forksCount":7,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-05-02T15:39:28.447Z"}}],"repositoryCount":11,"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"}