{"id":26246013,"url":"https://github.com/blei-lab/variational-smc","last_synced_at":"2026-03-01T23:31:31.839Z","repository":{"id":85553004,"uuid":"121355054","full_name":"blei-lab/variational-smc","owner":"blei-lab","description":"Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. \"Variational Sequential Monte Carlo\" (2018)","archived":false,"fork":false,"pushed_at":"2019-04-29T08:03:53.000Z","size":8,"stargazers_count":65,"open_issues_count":0,"forks_count":14,"subscribers_count":24,"default_branch":"master","last_synced_at":"2025-06-23T20:58:28.810Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/blei-lab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2018-02-13T08:04:12.000Z","updated_at":"2025-03-09T02:20:01.000Z","dependencies_parsed_at":"2023-07-20T11:16:32.140Z","dependency_job_id":null,"html_url":"https://github.com/blei-lab/variational-smc","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/blei-lab/variational-smc","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blei-lab%2Fvariational-smc","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blei-lab%2Fvariational-smc/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blei-lab%2Fvariational-smc/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blei-lab%2Fvariational-smc/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/blei-lab","download_url":"https://codeload.github.com/blei-lab/variational-smc/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blei-lab%2Fvariational-smc/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29987698,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-01T22:42:38.399Z","status":"ssl_error","status_checked_at":"2026-03-01T22:41:51.863Z","response_time":124,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-03-13T13:17:09.063Z","updated_at":"2026-03-01T23:31:31.834Z","avatar_url":"https://github.com/blei-lab.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Variational Sequential Monte Carlo\n\nThe repository contains code for the variational sequential Monte Carlo (VSMC) algorithm for approximate Bayesian inference:\n```\nVariational Sequential Monte Carlo.\nChristian A. Naesseth, Scott W. Linderman, Rajesh Ranganath, and David M. Blei\nProceedings of the 21st International Conference on Artificial Intelligence and Statistics 2018,\nLanzarote, Spain.\n```\nFurthermore, it contains a simulation example (a linear Gaussian state space model) on how to use the VSMC module. \nNote that this example learns both model parameters and proposal parameters so the final lower bound will not be a lower \nbound to the exact log-marginal likelihood for the parameters that generated the data.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblei-lab%2Fvariational-smc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fblei-lab%2Fvariational-smc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblei-lab%2Fvariational-smc/lists"}