{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"model-collection","owner":"AI4SIM","isFork":false,"description":"This project contains a collection of deep learning models developed by the AI4Sim team with various partners. This is structured on the basis of use-cases providing canonical PyTorch Lightning pipelines allowing to train neural network models that are able to surrogate various physical processes.","allTopics":["deep-learning","simulation","neural-networks","physics-informed-neural-networks","eviden"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":0,"starsCount":16,"forksCount":5,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-21T12:00:36.208Z"}},{"type":"Public","name":"ecrad-ml-weak","owner":"AI4SIM","isFork":true,"description":"ECMWF atmospheric radiation scheme with AI weak coupling","allTopics":["eviden"],"primaryLanguage":{"name":"Fortran","color":"#4d41b1"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":30,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-27T13:34:04.947Z"}}],"repositoryCount":2,"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":"AI4SIM repositories"}