{"id":15976844,"url":"https://github.com/tallamjr/bap-numpyro","last_synced_at":"2025-04-04T17:16:42.912Z","repository":{"id":71656936,"uuid":"406737830","full_name":"tallamjr/bap-numpyro","owner":"tallamjr","description":"Bayesian Analysis in Python (2nd ed.) with Numpyro","archived":false,"fork":false,"pushed_at":"2021-11-03T13:31:03.000Z","size":65337,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-10T02:38:12.074Z","etag":null,"topics":["bayesian-data-analysis","bayesian-inference","laplace-approximation","markov-chain-monte-carlo","numpyro","variational-inference"],"latest_commit_sha":null,"homepage":"https://tallamjr.github.io/bap-numpyro/","language":"Jupyter Notebook","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/tallamjr.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}},"created_at":"2021-09-15T11:37:47.000Z","updated_at":"2021-11-03T13:31:07.000Z","dependencies_parsed_at":null,"dependency_job_id":"ac5ec512-d496-43e4-a9e9-a87a013da397","html_url":"https://github.com/tallamjr/bap-numpyro","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tallamjr%2Fbap-numpyro","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tallamjr%2Fbap-numpyro/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tallamjr%2Fbap-numpyro/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tallamjr%2Fbap-numpyro/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tallamjr","download_url":"https://codeload.github.com/tallamjr/bap-numpyro/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247217220,"owners_count":20903009,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["bayesian-data-analysis","bayesian-inference","laplace-approximation","markov-chain-monte-carlo","numpyro","variational-inference"],"created_at":"2024-10-07T22:41:20.126Z","updated_at":"2025-04-04T17:16:42.887Z","avatar_url":"https://github.com/tallamjr.png","language":"Jupyter Notebook","readme":"![](https://github.com/tallamjr/bap-numpyro/workflows/CI/badge.svg)\n\n# Bayesian Analysis in Python (2nd ed.) with Numpyro\n\n\u003cimg src=\"https://static.packt-cdn.com/products/9781789341652/cover/9781789341652-original.png\" width=\"150\"\u003e\n\nAfter discovering the fantastic\n[`rethinking-numpyro`](https://fehiepsi.github.io/rethinking-numpyro/) project by\n[@fehiepsi](https://github.com/fehiepsi), I was inspired to try and do something like that myself.\nPrimarily as a learning activity, this is my attempt at porting\n[@aloctavodia](https://github.com/aloctavodia)'s \"Bayesian Analysis in Python\" [example PyMC3\ncode](https://github.com/aloctavodia/BAP) to [NumPyro](https://github.com/pyro-ppl/numpyro)\n\n🚧  **WIP** 🚧\n\n_**NOTE**_ : This is still a work-in-progress project.\n\nI am still very new to `numpyro` myself, and therefore welcome comments and suggestions about how\nbest to write idiomatic code and translate things etc. My plan is to translate as much as possible\nusing _only_ `jax`, `arviz`, `numpyro` and `seaborn`.  There are aspects where I could not figure\nout how to do it, maybe you can help?!\n\n#### TODOs:\n\n- [ ] Fix Chapters 5, 6, 7\n- [ ] Complete port of exercises 3 and 4\n- [ ] Complete exercises for chapters 5, 6, 7 \u0026 8\n- [ ] Remove unused imports from each notebook\n\n\u003c!-- ## How to read the notebooks\n\n+ Read on the site: https://tallamjr.github.io/bap-numpyro/\n\n+ Use GitHub's renderer: https://github.com/tallamjr/bap-numpyro/tree/master/notebooks/\n\n+ Use Jupyter's nbviewer: https://nbviewer.jupyter.org/github/tallamjr/bap-numpyro/tree/master/notebooks/ --\u003e\n\n## Acknowledgements\n\nMany many thanks to [Du Phan](https://github.com/fehiepsi) for the foundations of which I have built\nthis from and [Osvaldo Martin](https://github.com/aloctavodia) for the amazing book: Bayesian Data\nAnalysis in Python\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftallamjr%2Fbap-numpyro","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftallamjr%2Fbap-numpyro","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftallamjr%2Fbap-numpyro/lists"}