{"id":17222807,"url":"https://github.com/cheind/score-matching","last_synced_at":"2025-10-27T10:30:37.408Z","repository":{"id":66175008,"uuid":"438533587","full_name":"cheind/score-matching","owner":"cheind","description":null,"archived":false,"fork":false,"pushed_at":"2022-11-08T06:51:02.000Z","size":236,"stargazers_count":4,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-31T04:09:00.681Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/cheind.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":"2021-12-15T07:21:53.000Z","updated_at":"2024-11-07T06:48:06.000Z","dependencies_parsed_at":"2023-02-21T06:01:23.199Z","dependency_job_id":null,"html_url":"https://github.com/cheind/score-matching","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/cheind%2Fscore-matching","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cheind%2Fscore-matching/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cheind%2Fscore-matching/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cheind%2Fscore-matching/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cheind","download_url":"https://codeload.github.com/cheind/score-matching/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238478651,"owners_count":19479185,"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":[],"created_at":"2024-10-15T04:06:24.278Z","updated_at":"2025-10-27T10:30:32.042Z","avatar_url":"https://github.com/cheind.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# score-models\n\nThe aim of *score-models* is to trace the history and evolution of score-matching models for sampling from a data distribution. \n\n## References\n\n```bibtex\n@article{hyvarinen2005estimation,\n  title={Estimation of non-normalized statistical models by score matching.},\n  author={Hyv{\\\"a}rinen, Aapo and Dayan, Peter},\n  journal={Journal of Machine Learning Research},\n  volume={6},\n  number={4},\n  year={2005}\n}\n\n@inproceedings{song2020sliced,\n  title={Sliced score matching: A scalable approach to density and score estimation},\n  author={Song, Yang and Garg, Sahaj and Shi, Jiaxin and Ermon, Stefano},\n  booktitle={Uncertainty in Artificial Intelligence},\n  pages={574--584},\n  year={2020},\n  organization={PMLR}\n}\n\n\n@article{song2019generative,\n  title={Generative modeling by estimating gradients of the data distribution},\n  author={Song, Yang and Ermon, Stefano},\n  journal={arXiv preprint arXiv:1907.05600},\n  year={2019}\n}\n\n\n@article{vincent2011connection,\n  title={A connection between score matching and denoising autoencoders},\n  author={Vincent, Pascal},\n  journal={Neural computation},\n  volume={23},\n  number={7},\n  pages={1661--1674},\n  year={2011},\n  publisher={MIT Press}\n}\n\n```\n\nAdditional\nhttps://courses.cs.washington.edu/courses/cse599i/20au/resources/L17_denoising.pdf\nHow to Train Your Energy-Based Models\nhttps://arxiv.org/pdf/2101.03288.pdf\nA Low Rank Approach to Automatic Differentiation\nhttps://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.161.7201\u0026rep=rep1\u0026type=pdf\nSliced Score Matching\nhttps://arxiv.org/pdf/1905.07088.pdf\nhttps://arxiv.org/pdf/2101.09258.pdf\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcheind%2Fscore-matching","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcheind%2Fscore-matching","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcheind%2Fscore-matching/lists"}