{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"CCPG","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,2,0,0,0,0,0,0,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-02T07:46:23.543Z"}},{"type":"Public","name":"DCISprogression","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-22T19:51:40.643Z"}},{"type":"Public","name":"graphical_models","owner":"uhlerlab","isFork":false,"description":"Implementations of common graphical models, utilities for creating random graphs, and sampling from graphical models.","allTopics":["graphical-models"],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":1,"starsCount":8,"forksCount":4,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-22T15:24:52.418Z"}},{"type":"Public","name":"porcelan","owner":"uhlerlab","isFork":false,"description":"Detecting lineage-related gene expression patterns","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-13T04:23:47.340Z"}},{"type":"Public","name":"InfoCORE","owner":"uhlerlab","isFork":false,"description":"Code for paper: \"Removing Biases from Molecular Representations via Information Maximization\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":12,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-04T05:29:25.721Z"}},{"type":"Public","name":"APOLLO","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-04T21:12:28.871Z"}},{"type":"Public","name":"synthetic_lethality","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":2,"forksCount":0,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,7,2,0,0,0,0,0,0,0,0,7,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-03T04:18:01.911Z"}},{"type":"Public","name":"discrepancy_vae","owner":"uhlerlab","isFork":false,"description":"code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":8,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-27T05:46:47.994Z"}},{"type":"Public","name":"actlearn_optint","owner":"uhlerlab","isFork":false,"description":"Active learning for optimal intervention design in causal models","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":11,"forksCount":3,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-08T18:39:12.076Z"}},{"type":"Public","name":"meek_sep","owner":"uhlerlab","isFork":false,"description":"Source code for paper: Meek Separators and Their Applications in Targeted Causal Discovery","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":[0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-07T20:45:04.631Z"}},{"type":"Public","name":"aging_transcriptome_and_chromatin","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-07T17:29:47.052Z"}},{"type":"Public","name":"image2reg","owner":"uhlerlab","isFork":false,"description":"Code for the paper \"Image2Reg: Linking Chromatin Images to Gene Regulation using Genetic Perturbation Screens\"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-23T12:25:58.262Z"}},{"type":"Public","name":"adhesome_clustering","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-07T15:15:59.848Z"}},{"type":"Public","name":"kernel_tf","owner":"uhlerlab","isFork":false,"description":"Code for transfer learning with kernels ","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-08-10T15:21:57.519Z"}},{"type":"Public","name":"STACI","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":7,"forksCount":1,"license":null,"participation":[0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-08-09T00:19:04.782Z"}},{"type":"Public","name":"causal-imputation-synthetic-interventions","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-11T19:00:23.079Z"}},{"type":"Public","name":"causaldag","owner":"uhlerlab","isFork":false,"description":"Python package for the creation, manipulation, and learning of Causal DAGs","allTopics":["inference","causality","causal-inference","causal-models","causal-dags"],"primaryLanguage":{"name":"JavaScript","color":"#f1e05a"},"pullRequestCount":5,"issueCount":7,"starsCount":135,"forksCount":17,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-04-12T05:29:30.375Z"}},{"type":"Public","name":"MTP2-finance","owner":"uhlerlab","isFork":false,"description":"MTP2 for covariance estimation in financial data","allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":1,"issueCount":0,"starsCount":2,"forksCount":3,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-12-28T02:36:09.897Z"}},{"type":"Public","name":"cross-modal-autoencoders","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":3,"starsCount":51,"forksCount":8,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-10-29T00:15:19.815Z"}},{"type":"Public","name":"server_tutorial","owner":"uhlerlab","isFork":false,"description":"Code for using the GPU server","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":0,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-10-12T17:32:32.889Z"}},{"type":"Public","name":"inf_depth_ntks","owner":"uhlerlab","isFork":false,"description":"Code for experiments using infinitely wide and deep classifiers","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-08-02T18:10:25.228Z"}},{"type":"Public","name":"cma_phenotype_prediction","owner":"uhlerlab","isFork":false,"description":"Code for phenotype prediction from cross-modal autoencoder embeddings ","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-07-25T15:35:44.690Z"}},{"type":"Public","name":"mol2image","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":6,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-07-05T14:34:34.593Z"}},{"type":"Public","name":"graphical_model_learning","owner":"uhlerlab","isFork":false,"description":"Learning graphical models, with a focus on causal models and learning from interventional data.","allTopics":["machine-learning","statistics","graphical-models","causality","causal-inference","causal-models"],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":1,"starsCount":8,"forksCount":3,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-14T03:29:17.408Z"}},{"type":"Public","name":"NTKEigenPro","owner":"uhlerlab","isFork":false,"description":"The NTK for a 1 hidden layer neural network trained using EigenPro","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-11T00:59:05.880Z"}},{"type":"Public","name":"unbalanced_ot","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-19T16:30:35.237Z"}},{"type":"Public","name":"ntk_matrix_completion","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":1,"issueCount":0,"starsCount":13,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-01-09T16:14:38.346Z"}},{"type":"Public","name":"bmtm-mle","owner":"uhlerlab","isFork":false,"description":"Investigating the MLE of Brownian Motion Tree Models given 1-sample","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-12-20T17:10:28.760Z"}},{"type":"Public","name":"causal_mean_matching","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-10-14T04:49:04.588Z"}},{"type":"Public","name":"superot","owner":"uhlerlab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-08-05T21:18:24.465Z"}}],"repositoryCount":44,"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"}