{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"evhr","owner":"nasa-nccs-hpda","isFork":false,"description":"Enhanced Very-high Resolution (EVHR)","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":8,"starsCount":3,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-13T18:16:50.775Z"}},{"type":"Public","name":"super-resolution-climate","owner":"nasa-nccs-hpda","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-12T15:39:29.203Z"}},{"type":"Public","name":"above-shrubs.pytorch","owner":"nasa-nccs-hpda","isFork":false,"description":"Development of segmentation and regression deep learning models for ABoVE Shrubs project","allTopics":[],"primaryLanguage":{"name":"Dockerfile","color":"#384d54"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-11T16:48:35.360Z"}},{"type":"Public","name":"super-resolution-api","owner":"nasa-nccs-hpda","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-10T20:51:31.556Z"}},{"type":"Public","name":"pytorch-caney","owner":"nasa-nccs-hpda","isFork":false,"description":"Pytorch package with lots of tools for geospatial deep learning","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":20,"starsCount":7,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-09T15:51:34.399Z"}},{"type":"Public","name":"modis_vcf","owner":"nasa-nccs-hpda","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-09T14:05:41.134Z"}},{"type":"Public","name":"ilab-geoproc","owner":"nasa-nccs-hpda","isFork":false,"description":"Static fork from geoProc to gather common and specific tools for different satellite constellations","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-06T13:06:26.307Z"}},{"type":"Public","name":"above-shrubs","owner":"nasa-nccs-hpda","isFork":false,"description":"Development of regression deep learning models for ABoVE Shrubs project","allTopics":["machine-learning","deep-learning","height-estimation"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":36,"starsCount":1,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-09-04T22:06:19.842Z"}},{"type":"Public","name":"boreal_height_cmip6","owner":"nasa-nccs-hpda","isFork":false,"description":"Using a model to estimate current North American Boreal canopy heights using ICESat-2 ATL08 measures, CMIP6 climatic variables, soil, and permafrost, then predicting canopy heights through 2100, broken out by gradient class","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-28T13:07:41.509Z"}},{"type":"Public","name":"FMod","owner":"nasa-nccs-hpda","isFork":false,"description":"Foundation Models based on the Nvidia Modulus Framework with MERRA2 fine tuning.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-24T22:03:06.188Z"}},{"type":"Public","name":"srlite","owner":"nasa-nccs-hpda","isFork":false,"description":"surface reflectance","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":15,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-20T13:07:51.945Z"}},{"type":"Public","name":"modis-water-classification","owner":"nasa-nccs-hpda","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":5,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-19T19:53:25.194Z"}},{"type":"Public","name":"super-resolution-docker","owner":"nasa-nccs-hpda","isFork":false,"description":"","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":"2024-07-25T20:10:58.347Z"}},{"type":"Public","name":"landuse-fusion","owner":"nasa-nccs-hpda","isFork":false,"description":"Land Use Analysis using Data Fusion (VHR and SAR)","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-22T21:35:18.320Z"}},{"type":"Public","name":"tensorflow-caney","owner":"nasa-nccs-hpda","isFork":false,"description":"Python framework for lots of geospatial TensorFlow tools","allTopics":["remote-sensing","python","machine-learning","deep-learning","tensorflow"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":16,"starsCount":4,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-18T15:03:03.863Z"}},{"type":"Public","name":"forest-health-gliht","owner":"nasa-nccs-hpda","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-10T12:16:40.557Z"}},{"type":"Public","name":"ILAB_JupNotebooks","owner":"nasa-nccs-hpda","isFork":false,"description":"This repo is for ILAB Jupyter NBs that are destined to be public facing on prism in the tutorial_notebooks dir. The tutorial_notebooks dir is visible to all users under their JupyterLinks location and is managed by ADAPT administrators","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-31T16:23:38.422Z"}},{"type":"Public","name":"eo-validation","owner":"nasa-nccs-hpda","isFork":false,"description":"Earth Observation Validation Tool for Individuals and Teams","allTopics":["machine-learning","validation","remote-sensing"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":16,"starsCount":1,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-22T22:22:27.865Z"}},{"type":"Public","name":"monte-carlo","owner":"nasa-nccs-hpda","isFork":false,"description":"","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":"2024-05-08T19:41:58.314Z"}},{"type":"Public","name":"ilab-benchmarking-toolkit","owner":"nasa-nccs-hpda","isFork":false,"description":"ILAB Benchmarking Toolkit","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-23T18:32:49.281Z"}},{"type":"Public","name":"GEOS_aifm","owner":"nasa-nccs-hpda","isFork":true,"description":"AIFM Repository","allTopics":[],"primaryLanguage":{"name":"CMake","color":"#DA3434"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-18T18:48:02.837Z"}},{"type":"Public","name":"vhr-cloudmask","owner":"nasa-nccs-hpda","isFork":false,"description":"VHR Cloud Masking","allTopics":["tensorflow","cloud-masking","deep-learning","remote-sensing"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":8,"starsCount":1,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-04T04:47:35.218Z"}},{"type":"Public","name":"terragpu","owner":"nasa-nccs-hpda","isFork":false,"description":"Python library to process and classify remote sensing imagery by means of GPUs and ML.","allTopics":["ai","numpy","vector","ml","raster","earth-science","dask","geopandas","cupy","cudf","cuspatial","gpu"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":4,"starsCount":7,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-14T17:23:17.494Z"}},{"type":"Public","name":"blockmatchgpu","owner":"nasa-nccs-hpda","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-13T18:22:08.401Z"}},{"type":"Public","name":"modis_water","owner":"nasa-nccs-hpda","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-13T15:12:56.404Z"}},{"type":"Public","name":"ethiopia-lcluc-tensorflow","owner":"nasa-nccs-hpda","isFork":false,"description":"Ethiopia LCLUC using Deep Learning","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":9,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-28T16:37:21.008Z"}},{"type":"Public","name":"agb","owner":"nasa-nccs-hpda","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-12T14:40:30.383Z"}},{"type":"Public","name":"eis-dashboard","owner":"nasa-nccs-hpda","isFork":false,"description":"NASA EIS Dashboard","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":3,"starsCount":1,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-05T19:58:36.120Z"}},{"type":"Public","name":"vhr-cnn-dsm","owner":"nasa-nccs-hpda","isFork":false,"description":"Very-high Resolution CNN-based DSM","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":"2024-02-02T14:47:03.010Z"}},{"type":"Public","name":"senegal-lcluc-tensorflow","owner":"nasa-nccs-hpda","isFork":false,"description":"Senegal LCLUC TensorFlow","allTopics":["tensorflow","cnn","remote-sensing","tensorflow2"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":24,"starsCount":5,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-01T00:13:47.413Z"}}],"repositoryCount":60,"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":"nasa-nccs-hpda repositories"}