{"id":15971003,"url":"https://github.com/koriavinash1/pgm","last_synced_at":"2025-03-17T22:30:59.927Z","repository":{"id":40963448,"uuid":"242904930","full_name":"koriavinash1/pgm","owner":"koriavinash1","description":"Graph: Representation, Learning, and Inference Methods ","archived":false,"fork":false,"pushed_at":"2022-06-22T01:50:20.000Z","size":259,"stargazers_count":4,"open_issues_count":3,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-16T15:28:26.009Z","etag":null,"topics":["active-trails","bayesian-inference","bayesian-network","bfs","bn-representation","dfs","gibbs-sampling","gibbs-sampling-algorithm","graph","inference","loopy-belief-propagation","markov-networks","message-passing-interface","metropolis-hastings","pgm","pgm-inference","pgm-learning","pgm-representation","probability"],"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/koriavinash1.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}},"created_at":"2020-02-25T03:56:24.000Z","updated_at":"2025-03-14T02:01:57.000Z","dependencies_parsed_at":"2022-09-04T18:22:45.288Z","dependency_job_id":null,"html_url":"https://github.com/koriavinash1/pgm","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/koriavinash1%2Fpgm","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koriavinash1%2Fpgm/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koriavinash1%2Fpgm/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/koriavinash1%2Fpgm/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/koriavinash1","download_url":"https://codeload.github.com/koriavinash1/pgm/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243891898,"owners_count":20364604,"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":["active-trails","bayesian-inference","bayesian-network","bfs","bn-representation","dfs","gibbs-sampling","gibbs-sampling-algorithm","graph","inference","loopy-belief-propagation","markov-networks","message-passing-interface","metropolis-hastings","pgm","pgm-inference","pgm-learning","pgm-representation","probability"],"created_at":"2024-10-07T20:06:03.264Z","updated_at":"2025-03-17T22:30:59.662Z","avatar_url":"https://github.com/koriavinash1.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PGM\n[![Build Status](https://travis-ci.org/koriavinash1/pgm.svg?branch=master)](https://travis-ci.org/koriavinash1/pgm)\n[![Documentation Status](https://readthedocs.org/projects/ppgm/badge/?version=latest)](https://ppgm.readthedocs.io/en/latest/?)\n[![PyPI version](https://badge.fury.io/py/ppgm.svg)](https://badge.fury.io/py/ppgm)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nProbabilistic graphs: Representation, Learning, and Inference\n\n## Features\n\n- [x] Representation\n  - [x] Bayesian Network Representation\n  - [x] Linked List BN Representation\n  - [x] Linked List MN Representation\n  - [ ] Conditional Estimation\n  - [ ] Marginal Estimation\n  - [ ] Joint Estimation\n- [x] Inference\n  - [x] Metropolis-Hastings algorithm\n  - [x] Gibbs Sampling on 2d grid\n  - [ ] Generalized Gibbs Sampling\n  - [x] Message Parsing and BP\n  - [x] Loopy BP\n  - [x] VE\n  - [ ] Causal Interventions\n- [x] search methods\n  - [x] DFS\n  - [x] BFS\n- [x] Additional\n  - [x] Finding Active Trails\n  - [ ] Max clique size and clique node\n  - [ ] Calculate tree-width\n- [ ] Learning \n- [x] Miscellaneous\n  - [x] Random BN and MN generation\n \n## Installation\n```\npip install ppgm\n```\n  \n## Contact\n- Avinash Kori (koriavinash1@gmail.com)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkoriavinash1%2Fpgm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkoriavinash1%2Fpgm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkoriavinash1%2Fpgm/lists"}