{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"sae","owner":"CERC-AAI","isFork":true,"description":"Sparse autoencoders","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":37,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,1,10,5,5,4,12,10,6,5,3,4,6,1,1,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-08-30T15:13:56.127Z"}},{"type":"Public","name":"byte-neox","owner":"CERC-AAI","isFork":true,"description":"An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":991,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-19T22:03:38.816Z"}},{"type":"Public","name":"u3","owner":"CERC-AAI","isFork":false,"description":"Unified Unity Universe is a Unity and python package built in ml-agents to allow for rapid prototyping of RL environments within Unity. The main advantage of U3 over vanilla ml-agents is the support for features such as procedural generation, probing environment complexity and balancing multiple simulators during training.","allTopics":[],"primaryLanguage":{"name":"C#","color":"#178600"},"pullRequestCount":1,"issueCount":9,"starsCount":3,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-13T10:09:17.141Z"}},{"type":"Public","name":"mini_ada","owner":"CERC-AAI","isFork":false,"description":"Codebase for training rl agents with memory using Muesli","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":9,"starsCount":0,"forksCount":0,"license":null,"participation":[1,0,2,0,0,0,0,0,4,0,0,2,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T18:02:58.017Z"}},{"type":"Public","name":"Robin","owner":"CERC-AAI","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":28,"starsCount":62,"forksCount":8,"license":"Apache License 2.0","participation":[3,1,10,48,14,10,3,45,0,5,98,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-07T11:57:51.616Z"}},{"type":"Public","name":"multimodal","owner":"CERC-AAI","isFork":true,"description":"An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":7,"starsCount":8,"forksCount":991,"license":"Apache License 2.0","participation":[3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-07T09:31:56.231Z"}},{"type":"Public","name":"saturated_llms","owner":"CERC-AAI","isFork":true,"description":"An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":991,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-08T17:12:40.793Z"}},{"type":"Public","name":"generalist-agent","owner":"CERC-AAI","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-05T23:38:30.054Z"}},{"type":"Public","name":"transformers","owner":"CERC-AAI","isFork":true,"description":"🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":0,"forksCount":26314,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-08-09T12:44:51.006Z"}},{"type":"Public","name":".github","owner":"CERC-AAI","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-15T00:12:54.751Z"}}],"repositoryCount":10,"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":"CERC-AAI repositories"}