{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"2024-ProbAI","owner":"PGM-Lab","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-30T09:26:15.229Z"}},{"type":"Public","name":"2024-PGM-DCCC","owner":"PGM-Lab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-28T11:06:49.175Z"}},{"type":"Public","name":"bcause","owner":"PGM-Lab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":3,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-28T10:31:56.961Z"}},{"type":"Public","name":"2024-counterfactual-land","owner":"PGM-Lab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Java","color":"#b07219"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-10T13:36:57.364Z"}},{"type":"Public","name":"2023-RateFunction","owner":"PGM-Lab","isFork":false,"description":"Official Repository for Understanding Generalization in the Interpolation Regime using the Rate Function","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-12T08:35:08.077Z"}},{"type":"Public","name":"2023-PhD-Course-PML","owner":"PGM-Lab","isFork":false,"description":"PhD Course - Introduction to Probabilistic Machine Learning (2023)","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-23T10:46:44.421Z"}},{"type":"Public","name":"2023-ProbAI","owner":"PGM-Lab","isFork":false,"description":"Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023","allTopics":["probabilistic-programming","variational-inference","probabilistic-machine-learning","probabilistic-ai"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":17,"forksCount":5,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-13T15:18:11.722Z"}},{"type":"Public","name":"InferPy","owner":"PGM-Lab","isFork":false,"description":"InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy","allTopics":["neural-network","tensorflow","probabilistic-programming","user-friendly","keras-tensorflow","probabilistic-modeling"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":64,"starsCount":143,"forksCount":14,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-04-14T06:34:04.249Z"}},{"type":"Public","name":"PAC2BAYES","owner":"PGM-Lab","isFork":false,"description":"This repository contains the Python code to reproduce all the figures and experiments presented in the paper: Masegosa, Andrés. R., Learning under Model Misspecification: Applications to Variational and Ensemble methods. ","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":9,"forksCount":3,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-03-29T12:01:30.772Z"}},{"type":"Public","name":"ProbModelsDNNs","owner":"PGM-Lab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":12,"issueCount":0,"starsCount":6,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-02-02T06:34:48.643Z"}},{"type":"Public","name":"2022-ProbAI","owner":"PGM-Lab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":20,"forksCount":5,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-06-15T15:10:30.346Z"}},{"type":"Public","name":"2022-AISTATS-diversity","owner":"PGM-Lab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":1,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-02-21T08:08:49.170Z"}},{"type":"Public","name":"probai-2021-pyro","owner":"PGM-Lab","isFork":false,"description":"Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (<a href=\"https://probabilistic.ai/\" rel=\"nofollow\">https://probabilistic.ai/</a>)","allTopics":["machine-learning","ai","probabilistic-programming","variational-inference","probabilistic-models"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":47,"forksCount":14,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-11-09T15:00:21.458Z"}},{"type":"Public","name":"OOP_F21_Forked","owner":"PGM-Lab","isFork":true,"description":"Object Oriented Programming Course - Fall Semester 2021","allTopics":[],"primaryLanguage":{"name":"Java","color":"#b07219"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":18,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-10-13T11:24:07.486Z"}},{"type":"Public","name":"Temporal","owner":"PGM-Lab","isFork":false,"description":"Temporal Repo","allTopics":[],"primaryLanguage":{"name":"Java","color":"#b07219"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-09-20T08:13:34.320Z"}},{"type":"Public","name":"uncertainty-baselines","owner":"PGM-Lab","isFork":true,"description":"High-quality implementations of standard and SOTA methods on a variety of tasks.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":198,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-12-14T22:19:45.867Z"}},{"type":"Public","name":"uncertainty-metrics","owner":"PGM-Lab","isFork":true,"description":"An easy-to-use interface for measuring uncertainty and robustness.","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":23,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-09-21T20:30:39.372Z"}},{"type":"Public","name":"ASML-Tbilisi","owner":"PGM-Lab","isFork":false,"description":"Repository for the course PPLs with DNNs at Autumn school on Machine Learning, Tbilisi, Georgia, October 3-11, 2019.","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-10-08T13:34:22.100Z"}},{"type":"Public","name":"probabilisticAI_tutorials","owner":"PGM-Lab","isFork":false,"description":"Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2019 (<a href=\"https://2019.probabilistic.ai/\" rel=\"nofollow\">https://2019.probabilistic.ai/</a>)","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":1,"starsCount":20,"forksCount":18,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-06-05T15:48:02.155Z"}},{"type":"Public","name":"pidsia","owner":"PGM-Lab","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":"2019-05-28T08:34:41.435Z"}},{"type":"Public","name":"public-files","owner":"PGM-Lab","isFork":false,"description":"public-files","allTopics":[],"primaryLanguage":{"name":"TeX","color":"#3D6117"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-05-27T13:23:07.881Z"}},{"type":"Public","name":"pythoncourse-I","owner":"PGM-Lab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-04-18T11:02:00.089Z"}},{"type":"Public","name":"pgmlabweb","owner":"PGM-Lab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-01-25T11:34:53.392Z"}},{"type":"Public","name":"2018-ipmu-subconcept","owner":"PGM-Lab","isFork":false,"description":"Code for the paper about subconcept drift detection in discrete streaming data","allTopics":[],"primaryLanguage":{"name":"TeX","color":"#3D6117"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2018-06-13T07:42:58.544Z"}},{"type":"Public","name":"2017-CDdiscrete-AMIDST","owner":"PGM-Lab","isFork":true,"description":"AMIDST development for concept drift detection in discrete streaming data","allTopics":[],"primaryLanguage":{"name":"Java","color":"#b07219"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":35,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2017-09-11T12:03:54.098Z"}}],"repositoryCount":25,"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"}