{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"wrf_cn2_intercomp","owner":"mpierzyna","isFork":false,"description":"Intercomparison of flux, gradient, and variance-based optical turbulence (Cn2) parameterizations","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-22T16:02:37.161Z"}},{"type":"Public","name":"kelpnet","owner":"mpierzyna","isFork":false,"description":"KelpNet: Probabilistic Multi-Task Learning for Satellite-Based Kelp Forest Monitoring","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-01T07:25:21.937Z"}},{"type":"Public","name":"piml","owner":"mpierzyna","isFork":false,"description":"Π-ML: Learn data-driven similarity theories of physical problems","allTopics":["atmospheric-modelling","physics-informed-ml","optical-turbulence","similariy-theory"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":1,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-08T08:21:21.461Z"}}],"repositoryCount":3,"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":"mpierzyna repositories"}