{"payload":{"pageCount":8,"repositories":[{"type":"Public","name":"scikit-tree","owner":"neurodata","isFork":false,"description":"Scikit-learn compatible decision trees beyond those offered in scikit-learn","topicNames":["python","machine-learning","random-forest","cython","scikit-learn","decision-trees"],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":9,"issueCount":47,"starsCount":55,"forksCount":12,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-26T08:17:18.601Z"}},{"type":"Public","name":"treeple","owner":"neurodata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-26T04:13:41.947Z"}},{"type":"Public","name":"ProgLearn","owner":"neurodata","isFork":false,"description":"NeuroData's package for exploring and using progressive learning algorithms ","topicNames":["deep-neural-networks","deep-learning","classification","transfer-learning","decision-trees","domain-adaptation","random-forests","continual-learning"],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":10,"issueCount":46,"starsCount":33,"forksCount":42,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-24T22:44:44.687Z"}},{"type":"Public","name":"sex_classification","owner":"neurodata","isFork":false,"description":"A repository to explore interpretability of sex classification using structural MRI data.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-24T19:29:46.974Z"}},{"type":"Public","name":"scikit-learn","owner":"neurodata","isFork":true,"description":"scikit-learn-tree fork: A fork that enables extensions of Python and Cython API for decision trees","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":10,"issueCount":8,"starsCount":7,"forksCount":24976,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":[15,8,15,16,26,21,19,43,42,20,20,12,19,24,29,18,30,22,22,89,26,35,16,30,25,16,31,19,30,28,29,29,18,12,2,10,35,54,52,22,21,34,55,36,29,15,30,25,28,24,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-24T18:52:59.251Z"}},{"type":"Public","name":"neurodata.io","owner":"neurodata","isFork":false,"description":"Homepage for NeuroData","topicNames":["website","outreach","static-site","neuroimaging"],"topicsNotShown":0,"primaryLanguage":{"name":"TeX","color":"#3D6117"},"pullRequestCount":0,"issueCount":25,"starsCount":12,"forksCount":17,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,8,3,0,5,29,19,28,2,0,2,0,1,8,1,0,0,0,0,0,0,2,3,0,8,2,0,0,0,0,1,2,2,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-18T01:33:54.738Z"}},{"type":"Public","name":"might","owner":"neurodata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":null,"pullRequestCount":0,"issueCount":2,"starsCount":3,"forksCount":1,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-14T22:45:06.597Z"}},{"type":"Public","name":"m2g","owner":"neurodata","isFork":false,"description":"NeuroData's MRI to Graphs (m2g) - connectome estimation package and pipeline","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":28,"starsCount":60,"forksCount":35,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-13T18:13:37.360Z"}},{"type":"Public","name":"mgcx","owner":"neurodata","isFork":false,"description":"Code for paper \"Independence Testing for Multivariate Time Series.\" <a href=\"https://arxiv.org/abs/1908.06486\" rel=\"nofollow\">https://arxiv.org/abs/1908.06486</a>","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-09T01:38:04.123Z"}},{"type":"Public","name":"kmerf","owner":"neurodata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,1,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-08T20:31:35.928Z"}},{"type":"Public","name":"ksample","owner":"neurodata","isFork":false,"description":"Figure replication code for \"High-dimensional and universally consistent k-sample tests\"","topicNames":[],"topicsNotShown":0,"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-06T21:17:53.709Z"}},{"type":"Public","name":"hyppo-papers","owner":"neurodata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":3,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-06T21:17:14.323Z"}},{"type":"Public","name":"hyppo","owner":"neurodata","isFork":false,"description":"Python package for multivariate hypothesis testing","topicNames":["python","data-science","independence","hypothesis-testing","hacktoberfest","ksample-testing"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":4,"issueCount":45,"starsCount":214,"forksCount":89,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-06T21:16:26.735Z"}},{"type":"Public","name":"SPORF","owner":"neurodata","isFork":false,"description":"This is the implementation of Sparse Projection Oblique Randomer Forest","topicNames":["python","r","cpp","random-forest","classification","decision-trees"],"topicsNotShown":0,"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":10,"issueCount":90,"starsCount":98,"forksCount":45,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:59:16.510Z"}},{"type":"Public","name":"ood-tl","owner":"neurodata","isFork":false,"description":"Exploring how out-of-distribution (target) tasks improve (or degrade) the performance of a learning algorithm on an in-distribution (source) task.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:56:41.466Z"}},{"type":"Public","name":"bilateral-connectome","owner":"neurodata","isFork":false,"description":"A paper investigating bilateral symmetry of connectome networks.","topicNames":["statistics","network","neuroscience","network-analysis","connectome","connectome-mapping"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":2,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:56:23.470Z"}},{"type":"Public","name":"df-dn-paper","owner":"neurodata","isFork":false,"description":"Conceptual &amp; empirical comparisons between decision forests &amp; deep networks","topicNames":["machine-learning","deep-neural-networks","deep-learning","classification","decision-trees","random-forests"],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":2,"issueCount":9,"starsCount":16,"forksCount":8,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:52:48.981Z"}},{"type":"Public","name":"honest-forests","owner":"neurodata","isFork":false,"description":"Honest decision forests and trees implemented efficiently and scikit-learn compliant.","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":3,"starsCount":6,"forksCount":2,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:52:04.611Z"}},{"type":"Public","name":"brainlit","owner":"neurodata","isFork":false,"description":"Method container for computational neuroscience on brains.","topicNames":["neuroscience","neuroimaging","python"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":5,"issueCount":73,"starsCount":24,"forksCount":17,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:48:49.491Z"}},{"type":"Public","name":"kdg","owner":"neurodata","isFork":false,"description":"Exploring and using kernel density algorithms","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":7,"starsCount":5,"forksCount":6,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:45:12.709Z"}},{"type":"Public","name":"CloudReg","owner":"neurodata","isFork":false,"description":"CloudReg","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":1,"issueCount":4,"starsCount":9,"forksCount":8,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:44:27.487Z"}},{"type":"Public","name":"SDTF","owner":"neurodata","isFork":false,"description":"Exploring streaming options for decision trees and random forests. Based on scikit-learn fork.","topicNames":["classification","decision-trees","streaming-data","machine-learning"],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":9,"starsCount":8,"forksCount":2,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:43:35.230Z"}},{"type":"Public","name":"connectomic-heritability","owner":"neurodata","isFork":false,"description":"","topicNames":["python","graph-algorithms","neuroscience","network-analysis","connectomics","multigraph","heritability"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:42:27.846Z"}},{"type":"Public","name":"causal_batch","owner":"neurodata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-05T13:31:55.386Z"}},{"type":"Public","name":"CEP_experiments","owner":"neurodata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-24T22:25:31.896Z"}},{"type":"Public","name":"graphbook_figures","owner":"neurodata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-12T21:06:49.163Z"}},{"type":"Public","name":"alzheimers-mouse","owner":"neurodata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-08T21:23:33.463Z"}},{"type":"Public","name":"xai","owner":"neurodata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-07T18:57:33.770Z"}},{"type":"Public","name":"badea-mouse","owner":"neurodata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-22T17:59:31.077Z"}},{"type":"Public","name":"talks","owner":"neurodata","isFork":false,"description":"NeuroData Talks","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":1,"starsCount":4,"forksCount":8,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-28T16:56:13.778Z"}}],"repositoryCount":226,"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"}