{"id":20019238,"url":"https://github.com/jbris/pymc-mlflow-deployment","last_synced_at":"2026-05-13T04:07:34.968Z","repository":{"id":226884728,"uuid":"768941232","full_name":"JBris/pymc-mlflow-deployment","owner":"JBris","description":"Testing deployment of PyMC models using MLFlow and BentoML.","archived":false,"fork":false,"pushed_at":"2024-03-10T12:35:49.000Z","size":122,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-01-12T16:08:02.895Z","etag":null,"topics":["bayesian-inference","bayesian-statistics","bentoml","bentoml-service","boto3","botocore","devops","docker","hydra","minio","minio-server","mlflow","mlflow-tracking","mlflow-tracking-server","mlops","mlops-workflow","pymc","pymc-experimental"],"latest_commit_sha":null,"homepage":"https://jbris.github.io/pymc-mlflow/","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/JBris.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","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":"2024-03-08T02:35:31.000Z","updated_at":"2024-09-09T13:41:27.000Z","dependencies_parsed_at":"2024-11-13T08:28:11.055Z","dependency_job_id":"1aaf1722-e31b-4663-bc99-075aba0d2303","html_url":"https://github.com/JBris/pymc-mlflow-deployment","commit_stats":null,"previous_names":["jbris/pymc-mlflow"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fpymc-mlflow-deployment","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fpymc-mlflow-deployment/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fpymc-mlflow-deployment/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fpymc-mlflow-deployment/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JBris","download_url":"https://codeload.github.com/JBris/pymc-mlflow-deployment/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241453287,"owners_count":19965171,"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-inference","bayesian-statistics","bentoml","bentoml-service","boto3","botocore","devops","docker","hydra","minio","minio-server","mlflow","mlflow-tracking","mlflow-tracking-server","mlops","mlops-workflow","pymc","pymc-experimental"],"created_at":"2024-11-13T08:26:34.079Z","updated_at":"2025-11-28T04:03:37.390Z","avatar_url":"https://github.com/JBris.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PyMC MLFlow\n\n[![pages-build-deployment](https://github.com/JBris/pymc-mlflow/actions/workflows/pages/pages-build-deployment/badge.svg?branch=main)](https://github.com/JBris/pymc-mlflow/actions/workflows/pages/pages-build-deployment)\n[![CodeQL](https://github.com/JBris/pymc-mlflow/actions/workflows/github-code-scanning/codeql/badge.svg?branch=main)](https://github.com/JBris/pymc-mlflow/actions/workflows/github-code-scanning/codeql)\n[![Docker Build](https://github.com/JBris/pymc-mlflow/actions/workflows/build.yaml/badge.svg?branch=main)](https://github.com/JBris/pymc-mlflow/actions/workflows/build.yaml)\n\nTesting deployment of PyMC models using MLFlow.\n\nExecute [pymc_mlflow.sh](scripts/pymc_mlflow.sh)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjbris%2Fpymc-mlflow-deployment","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjbris%2Fpymc-mlflow-deployment","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjbris%2Fpymc-mlflow-deployment/lists"}