{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"symphony","owner":"atomicarchitects","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":0,"starsCount":4,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-03T16:46:39.895Z"}},{"type":"Public","name":"atomicarchitects.github.io","owner":"atomicarchitects","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"SCSS","color":"#c6538c"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-02T13:01:18.511Z"}},{"type":"Public","name":"equiformer_v2","owner":"atomicarchitects","isFork":false,"description":"[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations","topicNames":["machine-learning","deep-learning","molecular-dynamics","pytorch","computational-chemistry","computational-physics","drug-discovery","materials-science","force-fields","geometric-deep-learning"],"topicsNotShown":7,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":12,"starsCount":144,"forksCount":20,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-01T05:44:02.479Z"}},{"type":"Public","name":"e3nn-pt2","owner":"atomicarchitects","isFork":false,"description":"e3nn + PyTorch 2.0","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":9,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-29T00:09:20.698Z"}},{"type":"Public","name":"tinye3nn","owner":"atomicarchitects","isFork":false,"description":"e3nn + tinygrad","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-28T21:24:36.748Z"}},{"type":"Public","name":"BasisLib","owner":"atomicarchitects","isFork":false,"description":"Your favorite basis functions for equivariant models in one place. Code borrowed from e3x","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":2,"forksCount":0,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9,10,0,2,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-10T16:16:16.096Z"}},{"type":"Public","name":"FusionFail","owner":"atomicarchitects","isFork":false,"description":"Profile showing 3 layers of NequIP using e3nn-jax","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,15,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-03T18:55:14.375Z"}},{"type":"Public","name":"pyspectra","owner":"atomicarchitects","isFork":false,"description":"Library for computing, inverting, and visualizing spectra of local atomic environments","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":1,"license":null,"participation":[0,0,0,0,2,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,1,0,0,0,14,7,5,2,3,1,0,0,0,0,0,0,0,2,0,0,1,0,0,0,12,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-27T00:10:38.058Z"}},{"type":"Public","name":"phonax","owner":"atomicarchitects","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-18T01:55:33.295Z"}},{"type":"Public","name":"e3nn","owner":"atomicarchitects","isFork":true,"description":"A modular framework for neural networks with Euclidean symmetry","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":130,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-12T03:42:13.645Z"}},{"type":"Public","name":"equiformer","owner":"atomicarchitects","isFork":false,"description":"[ICLR'23 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs","topicNames":["machine-learning","deep-learning","molecular-dynamics","pytorch","computational-chemistry","drug-discovery","materials-science","force-fields","geometric-deep-learning","graph-neural-networks"],"topicsNotShown":6,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":5,"starsCount":174,"forksCount":33,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-21T08:04:30.138Z"}}],"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":"mirror","text":"Mirrors"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}