{"id":21358521,"url":"https://github.com/vagmcs/prml","last_synced_at":"2025-10-05T16:56:17.707Z","repository":{"id":53257035,"uuid":"310618317","full_name":"vagmcs/PRML","owner":"vagmcs","description":"PRML notes, proofs and algorithms implemented in Python","archived":false,"fork":false,"pushed_at":"2025-08-19T01:56:42.000Z","size":109362,"stargazers_count":37,"open_issues_count":1,"forks_count":12,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-19T03:34:23.878Z","etag":null,"topics":["machine-learning","notebooks","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vagmcs.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","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":"2020-11-06T14:24:49.000Z","updated_at":"2025-08-18T14:23:13.000Z","dependencies_parsed_at":"2024-08-28T21:50:16.879Z","dependency_job_id":"4249a6cb-42e4-4e5c-ac66-8b393bf48b24","html_url":"https://github.com/vagmcs/PRML","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/vagmcs/PRML","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vagmcs%2FPRML","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vagmcs%2FPRML/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vagmcs%2FPRML/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vagmcs%2FPRML/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vagmcs","download_url":"https://codeload.github.com/vagmcs/PRML/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vagmcs%2FPRML/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278486278,"owners_count":25994941,"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","status":"online","status_checked_at":"2025-10-05T02:00:06.059Z","response_time":54,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["machine-learning","notebooks","python"],"created_at":"2024-11-22T05:18:19.596Z","updated_at":"2025-10-05T16:56:17.699Z","avatar_url":"https://github.com/vagmcs.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Pattern Recognition and Machine Learning (PMRL)\n\n[![nbviewer](https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg)](https://nbviewer.jupyter.org/github/vagmcs/prml/tree/master/)\n[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit\u0026logoColor=white)](https://github.com/pre-commit/pre-commit)\n\nThe project contains notes and proofs as Jupyter notebooks, as well as, Python code implementing algorithms as presented in the book \"Pattern Recognition and Machine Learning\" by Christopher Bishop.\n\n## Instructions\n\nIn order to run the notebooks locally type the following:\n\n```bash\nmake install\nmake jupyter\n```\n\nTo generate a PDF document from the notebooks just type:\n\n```bash\nmake notes\n```\n\nTo generate markdown documents from the notebooks just type:\n\n```bash\nmake markdown\n```\n\n## Notebooks\n\n* [1. Introduction](https://nbviewer.jupyter.org/github/vagmcs/PRML/blob/main/notebooks/ch1_introduction.ipynb)\n* [2. Probability Distributions](https://nbviewer.jupyter.org/github/vagmcs/PRML/blob/main/notebooks/ch2_probability_distributions.ipynb)\n* [3. Linear Models for Regression](https://nbviewer.jupyter.org/github/vagmcs/PRML/blob/main/notebooks/ch3_linear_models_for_regression.ipynb)\n* [4. Linear Models for Classification](https://nbviewer.jupyter.org/github/vagmcs/PRML/blob/main/notebooks/ch4_linear_models_for_classification.ipynb)\n* [5. Neural Networks](https://nbviewer.jupyter.org/github/vagmcs/PRML/blob/main/notebooks/ch5_neural_networks.ipynb)\n* [Gradient Descent Algorithms](https://nbviewer.jupyter.org/github/vagmcs/PRML/blob/main/notebooks/gradient_descent_algorithms.ipynb)\n* [6. Kernel Methods](https://nbviewer.jupyter.org/github/vagmcs/PRML/blob/main/notebooks/ch6_kernel_methods.ipynb)\n* [7. Sparse Kernel Machines](https://nbviewer.jupyter.org/github/vagmcs/PRML/blob/main/notebooks/ch7_sparse_kernel_machines.ipynb)\n* [9. Mixture Models and EM](https://nbviewer.jupyter.org/github/vagmcs/PRML/blob/main/notebooks/ch9_mixture_models_and_em.ipynb)\n\n## Resources\n\n* [PRML Book](https://www.microsoft.com/en-us/research/publication/pattern-recognition-machine-learning)\n* [PRML Errata](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/05/prml-errata-3rd-20110921.pdf)\n* [An overview of gradient descent optimization algorithms](https://www.ruder.io/optimizing-gradient-descent) by Sebastian Ruder\n* [An updated overview of recent gradient descent algorithms](https://johnchenresearch.github.io/demon) by John Chen\n* [3Blue1Brown YouTube Channel](https://www.youtube.com/@3blue1brown)\n\n## License\n\nThis program comes with ABSOLUTELY NO WARRANTY. This is free software, and you are welcome to redistribute it under certain conditions; See the [GNU General Public License v3 for more details](http://www.gnu.org/licenses/gpl-3.0.en.html).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvagmcs%2Fprml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvagmcs%2Fprml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvagmcs%2Fprml/lists"}