{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"poli","owner":"MachineLearningLifeScience","isFork":false,"description":"Protein Objectives Library","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":30,"starsCount":12,"forksCount":1,"license":"MIT License","participation":[0,2,0,0,0,3,9,17,46,33,16,17,5,15,2,11,4,18,17,2,0,4,2,4,3,0,4,12,4,6,9,1,0,1,2,0,3,5,2,0,2,2,5,1,1,0,3,4,0,2,2,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-25T17:02:14.211Z"}},{"type":"Public","name":"poli-baselines","owner":"MachineLearningLifeScience","isFork":false,"description":"A collection of objective functions and black box optimization algorithms related to proteins and small molecules","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":9,"starsCount":4,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-25T14:09:49.833Z"}},{"type":"Public","name":"hdbo_benchmark","owner":"MachineLearningLifeScience","isFork":false,"description":"Code for \"A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,3,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-25T13:58:42.058Z"}},{"type":"Public","name":"poli-docs","owner":"MachineLearningLifeScience","isFork":false,"description":"Documentation for poli and poli-baselines","allTopics":[],"primaryLanguage":null,"pullRequestCount":2,"issueCount":3,"starsCount":3,"forksCount":0,"license":null,"participation":[0,0,0,0,0,4,6,5,1,7,5,0,0,2,0,1,0,1,1,1,0,1,0,1,0,1,1,0,0,11,22,0,2,1,3,0,7,0,1,0,0,9,2,0,2,0,0,0,0,0,11,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-25T13:51:23.492Z"}},{"type":"Public","name":"protein_regression","owner":"MachineLearningLifeScience","isFork":false,"description":"The codebase to replicate the analysis of \"A systematic analysis of regression models for protein engineering\" (2024).","allTopics":["benchmark","machine-learning","computational-biology","uncertainty-quantification"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":1,"license":"MIT License","participation":[6,1,0,0,0,0,8,0,9,5,0,0,0,0,6,0,0,3,26,0,3,0,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,22,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T13:23:42.254Z"}},{"type":"Public","name":"corel","owner":"MachineLearningLifeScience","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":1,"forksCount":0,"license":"MIT License","participation":[0,0,0,0,0,0,0,12,9,27,16,22,3,17,16,5,0,0,2,1,0,5,0,1,0,8,6,1,16,12,39,15,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-12T09:11:59.268Z"}},{"type":"Public","name":"stochman","owner":"MachineLearningLifeScience","isFork":false,"description":"Algorithms for computations on random manifolds made easier","allTopics":["python","machine-learning","pytorch","manifold","riemannian-geometry"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":10,"starsCount":79,"forksCount":9,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-04T06:54:42.073Z"}},{"type":"Public","name":"BEND","owner":"MachineLearningLifeScience","isFork":false,"description":"BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-24T10:54:26.308Z"}},{"type":"Public","name":".github","owner":"MachineLearningLifeScience","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-08-18T09:13:55.791Z"}},{"type":"Public","name":"meaningful-protein-representations","owner":"MachineLearningLifeScience","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":4,"starsCount":100,"forksCount":9,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-07T22:51:22.797Z"}},{"type":"Public","name":"torchplot","owner":"MachineLearningLifeScience","isFork":false,"description":"Plotting pytorch tensors made easy!","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":14,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-01-28T11:29:03.701Z"}}],"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":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}