{"id":28441116,"url":"https://github.com/tjhunter/levy-stable-jax","last_synced_at":"2026-03-03T04:08:39.668Z","repository":{"id":237940807,"uuid":"795531721","full_name":"tjhunter/levy-stable-jax","owner":"tjhunter","description":"Lévy's alpha-stable distribution for the Jax numerical framework","archived":false,"fork":false,"pushed_at":"2024-07-03T07:04:09.000Z","size":12413,"stargazers_count":2,"open_issues_count":2,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-17T07:53:33.183Z","etag":null,"topics":["inference","jax","pymc","robust-statistics","statistical-models"],"latest_commit_sha":null,"homepage":"https://levy-stable-jax.readthedocs.io","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tjhunter.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":"2024-05-03T13:36:19.000Z","updated_at":"2025-04-21T19:12:46.000Z","dependencies_parsed_at":"2024-05-28T10:31:48.070Z","dependency_job_id":"2a1d19bf-6c73-499c-bf82-0ac33471dc14","html_url":"https://github.com/tjhunter/levy-stable-jax","commit_stats":null,"previous_names":["tjhunter/levy-stable-jax"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tjhunter/levy-stable-jax","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tjhunter%2Flevy-stable-jax","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tjhunter%2Flevy-stable-jax/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tjhunter%2Flevy-stable-jax/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tjhunter%2Flevy-stable-jax/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tjhunter","download_url":"https://codeload.github.com/tjhunter/levy-stable-jax/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tjhunter%2Flevy-stable-jax/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30031981,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-03T03:27:35.548Z","status":"ssl_error","status_checked_at":"2026-03-03T03:27:09.213Z","response_time":61,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: 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":["inference","jax","pymc","robust-statistics","statistical-models"],"created_at":"2025-06-06T04:08:58.388Z","updated_at":"2026-03-03T04:08:39.654Z","avatar_url":"https://github.com/tjhunter.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Levy-stable-jax\n\nImplementation of the Lévy-stable distributions for the Jax framework.\n\nThe Lévy-stable distribution is a generalization of the Normal, Cauchy and Lévy distributions. It enjoys many appealing properties, but it has no \nknown closed-form solutions.\n\nThis package provides an implementation using the Jax framework. With this package, you can use this distribution with all AI frameworks based on Jax. In particular, you can use Lévy-stable distributions in Bayesian inference \nframeworks such as `numpyro` or `PyMC`. \n\nThis implementation is optimized for speed and ease of use with Jax.\n It uses the scipy implementation as a reference.\n\n\nIt also includes various experimental methods for fitting Lévy-stable\ndistributions. These should be considered experimental, both in API and in\nfunctionality.\n\n## Current limitations\n\n- values of alpha are only supported in the range (1.01 - 2). This code may work\n  for lower values of alpha but it has not been tested.\n\n- only one parametrization (Nolan's N0 notation) is implemented. It is the more stable parametrization for numerical computations.\n\n## Commands (development only)\n\n\nSetting up the test environment\n\n```\npip install .[dev]\nmake lint\nmake test\npoetry build\npoetry publish\n\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftjhunter%2Flevy-stable-jax","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftjhunter%2Flevy-stable-jax","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftjhunter%2Flevy-stable-jax/lists"}