{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"accelerated-langevin-imla","owner":"MI2G","isFork":false,"description":"Code for the paper \"Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling\" (<a href=\"https://arxiv.org/abs/2308.09460\" rel=\"nofollow\">https://arxiv.org/abs/2308.09460</a>).","allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":1,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-12T19:34:27.338Z"}},{"type":"Public","name":"sampling-tutorials","owner":"MI2G","isFork":false,"description":"Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences","allTopics":["sampling","bayesian-inference","mcmc","inverse-problems","deblurring","total-variation","bayesian-inverse-problems","langevin-mc","mcmc-sampling"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":3,"license":"GNU General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-12T19:32:25.885Z"}}],"repositoryCount":2,"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":"MI2G repositories"}