{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"vllm","owner":"lightonai","isFork":true,"description":"A high-throughput and memory-efficient inference and serving engine for LLMs","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":3234,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-12T14:10:33.751Z"}},{"type":"Public","name":"torchtune","owner":"lightonai","isFork":true,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":295,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-05T08:48:52.885Z"}},{"type":"Public","name":"datatrove","owner":"lightonai","isFork":true,"description":"Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":109,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-03T13:34:22.380Z"}},{"type":"Public","name":"composer","owner":"lightonai","isFork":true,"description":"Supercharge Your Model Training","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":408,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-20T18:06:51.659Z"}},{"type":"Public","name":"mamba-amd","owner":"lightonai","isFork":true,"description":"Port of Mamba to run and run efficiently on AMD.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":957,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-28T16:06:29.441Z"}},{"type":"Public","name":"causal-conv1d-amd","owner":"lightonai","isFork":true,"description":"Port of causal-conv1d to run and run efficiently on AMD.","allTopics":[],"primaryLanguage":{"name":"Cuda","color":"#3A4E3A"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":45,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-28T15:38:27.139Z"}},{"type":"Public","name":"text-embeddings-inference","owner":"lightonai","isFork":true,"description":"A blazing fast inference solution for text embeddings models","allTopics":[],"primaryLanguage":{"name":"Rust","color":"#dea584"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":141,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-25T12:37:15.924Z"}},{"type":"Public","name":"text-generation-inference","owner":"lightonai","isFork":true,"description":"Large Language Model Text Generation Inference","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":954,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-18T10:24:04.192Z"}},{"type":"Public","name":"chroma","owner":"lightonai","isFork":true,"description":"the AI-native open-source embedding database","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1151,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-04T10:45:34.405Z"}},{"type":"Public","name":"outlines","owner":"lightonai","isFork":true,"description":"Structured Text Generation","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":368,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-01T13:22:30.663Z"}},{"type":"Public","name":".github","owner":"lightonai","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-10T09:43:10.677Z"}},{"type":"Public","name":"paradigm-client","owner":"lightonai","isFork":false,"description":"Python client for LightOn Paradigm","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-05T15:52:32.045Z"}},{"type":"Public archive","name":"opu-benchmarks","owner":"lightonai","isFork":false,"description":"ML benchmarks performance featuring LightOn's Optical Processing Unit (OPU) vs CPU and GPU.","allTopics":["machine-learning","hardware-acceleration","photonic-computing"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":4,"issueCount":0,"starsCount":21,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-07-23T08:17:17.185Z"}},{"type":"Public archive","name":"transfer-learning-opu","owner":"lightonai","isFork":false,"description":"Optical Transfer Learning","allTopics":["machine-learning","deep-learning","transfer-learning","tensorrt","photonic-computing"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":4,"issueCount":0,"starsCount":27,"forksCount":3,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-07-23T06:16:10.685Z"}},{"type":"Public","name":"lightonmuse-sagemaker-sdk","owner":"lightonai","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-12T13:51:48.224Z"}},{"type":"Public","name":"RITA","owner":"lightonai","isFork":false,"description":"RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.","allTopics":["deep-learning","protein-design","generative-models"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":3,"starsCount":88,"forksCount":8,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-01-24T10:02:41.370Z"}},{"type":"Public archive","name":"muse-examples","owner":"lightonai","isFork":false,"description":"Collection of examples for the Muse models.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-29T10:15:15.927Z"}},{"type":"Public archive","name":"muse-docs","owner":"lightonai","isFork":false,"description":"Documentation for the Muse API.","allTopics":[],"primaryLanguage":{"name":"JavaScript","color":"#f1e05a"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-10-20T09:44:56.073Z"}},{"type":"Public","name":"lairgpt","owner":"lightonai","isFork":false,"description":"Inference code in Pytorch for GPT-like models, such as PAGnol, a family of models with up to 1.5B parameters, trained on datasets in French.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":20,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-10-18T14:25:36.242Z"}},{"type":"Public archive","name":"lightonmuse","owner":"lightonai","isFork":false,"description":"Python client for the LightOn Muse API","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":14,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-09-15T14:31:58.694Z"}},{"type":"Public archive","name":"muse-google-sheets","owner":"lightonai","isFork":false,"description":"Source code for the integration of Muse in Google Sheets.","allTopics":["google-sheets","muse","google-script"],"primaryLanguage":{"name":"TypeScript","color":"#3178c6"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-09-01T14:07:26.833Z"}},{"type":"Public archive","name":"js-lightonmuse","owner":"lightonai","isFork":false,"description":"","allTopics":["muse"],"primaryLanguage":{"name":"TypeScript","color":"#3178c6"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-08-09T18:26:12.048Z"}},{"type":"Public archive","name":"dfa-scales-to-modern-deep-learning","owner":"lightonai","isFork":false,"description":"Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural language processing.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":0,"starsCount":80,"forksCount":10,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-22T02:21:07.614Z"}},{"type":"Public archive","name":"double-trouble-in-double-descent","owner":"lightonai","isFork":false,"description":"Double Trouble in the Double Descent Curve with Optical Processing Units.","allTopics":["machine-learning","machinelearning","photonic-computing","kernel-averaging"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":12,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-22T01:52:28.040Z"}},{"type":"Public archive","name":"newma-md","owner":"lightonai","isFork":false,"description":"Conformational exploration SARS-CoV-2 (coronavirus responsible for COVID-19)","allTopics":["molecular-dynamics","change-point-detection","covid-19","newma","photonic-computing"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":0,"starsCount":16,"forksCount":5,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-22T01:31:23.072Z"}},{"type":"Public archive","name":"double-descent-curve","owner":"lightonai","isFork":false,"description":"Double Descent Curve with Optical Random Features","allTopics":["machine-learning","ridge-regression","optical-network","random-features","photonic-computing"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":0,"starsCount":27,"forksCount":6,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-22T00:08:15.959Z"}},{"type":"Public archive","name":"lightonml","owner":"lightonai","isFork":false,"description":"Python library for running large-scale computations on LightOn's OPUs","allTopics":["machine-learning","photonic-computing"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":35,"forksCount":11,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-05T17:00:48.410Z"}},{"type":"Public archive","name":"akronomicon","owner":"lightonai","isFork":false,"description":"Public rankings of extreme-scale models","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":4,"starsCount":13,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-10-18T19:51:45.537Z"}},{"type":"Public archive","name":"contrastive-embeddings-for-neural-architectures","owner":"lightonai","isFork":false,"description":"Architecture embeddings independent from the parametrization of the search space","allTopics":["neural-architecture-search","contrastive-learning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":15,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-03-17T10:46:23.757Z"}},{"type":"Public archive","name":"phase-retrieval-opu","owner":"lightonai","isFork":false,"description":"Minimal code to perform phase retrieval on LightOn OPUs","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":8,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-01-05T13:24:49.225Z"}}],"repositoryCount":35,"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":"lightonai repositories"}