{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"synthetic_controls","owner":"blei-lab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-28T21:14:34.265Z"}},{"type":"Public","name":"tmv","owner":"blei-lab","isFork":true,"description":"topic model visualization","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":21,"forksCount":38,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-10-12T15:06:53.810Z"}},{"type":"Public","name":"onlineldavb","owner":"blei-lab","isFork":false,"description":"Online variational Bayes for latent Dirichlet allocation (LDA)","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":2,"starsCount":296,"forksCount":105,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-05-21T15:20:53.811Z"}},{"type":"Public","name":"markovian-score-climbing","owner":"blei-lab","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":8,"forksCount":0,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-10-16T18:54:31.505Z"}},{"type":"Public","name":"causal-text-embeddings","owner":"blei-lab","isFork":false,"description":"Software and data for \"Using Text Embeddings for Causal Inference\"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":122,"forksCount":17,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-09-23T17:32:00.922Z"}},{"type":"Public","name":"variational-smc","owner":"blei-lab","isFork":false,"description":"Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. \"Variational Sequential Monte Carlo\" (2018)","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":61,"forksCount":13,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-04-29T08:03:53.127Z"}},{"type":"Public","name":"context-selection-embedding","owner":"blei-lab","isFork":false,"description":"Context Selection for Embedding Models","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":27,"forksCount":11,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-11-02T15:24:48.330Z"}},{"type":"Public","name":"zero-inflated-embedding","owner":"blei-lab","isFork":false,"description":"Code for the icml paper \"zero inflated exponential family embedding\"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":28,"forksCount":13,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-11-02T02:05:47.915Z"}},{"type":"Public","name":"turbotopics","owner":"blei-lab","isFork":false,"description":"Turbo topics find significant multiword phrases in topics.","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":46,"forksCount":9,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2015-06-16T15:56:44.829Z"}},{"type":"Public","name":"tmve","owner":"blei-lab","isFork":true,"description":"create a browser of a corpus using a topic model; original TMVE implementation (static pages)","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":9,"forksCount":17,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2015-05-21T12:38:32.870Z"}},{"type":"Public","name":"online-hdp","owner":"blei-lab","isFork":false,"description":"Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm determines the number of topics.","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":144,"forksCount":49,"license":"GNU General Public License v2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2015-03-29T22:28:04.255Z"}}],"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"}