{"id":31789178,"url":"https://github.com/cursedseraphim/nam-torch","last_synced_at":"2025-10-10T14:47:19.370Z","repository":{"id":184659097,"uuid":"543559370","full_name":"CursedSeraphim/NAM-torch","owner":"CursedSeraphim","description":"A simple implementation of the Neural Additive Model by Agarwal et al. in PyTorch.","archived":false,"fork":false,"pushed_at":"2023-04-10T16:37:16.000Z","size":866,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2023-07-29T14:48:00.819Z","etag":null,"topics":["explainable-ai","interpretable-ai","interpretable-machine-learning","iris-dataset","machine-learning","xai"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/CursedSeraphim.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2022-09-30T11:03:56.000Z","updated_at":"2023-07-29T14:48:02.381Z","dependencies_parsed_at":"2023-07-29T15:00:47.672Z","dependency_job_id":null,"html_url":"https://github.com/CursedSeraphim/NAM-torch","commit_stats":null,"previous_names":["cursedseraphim/nam-torch"],"tags_count":null,"template":null,"template_full_name":null,"purl":"pkg:github/CursedSeraphim/NAM-torch","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CursedSeraphim%2FNAM-torch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CursedSeraphim%2FNAM-torch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CursedSeraphim%2FNAM-torch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CursedSeraphim%2FNAM-torch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CursedSeraphim","download_url":"https://codeload.github.com/CursedSeraphim/NAM-torch/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CursedSeraphim%2FNAM-torch/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279004183,"owners_count":26083689,"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":"2025-10-10T02:00:06.843Z","response_time":62,"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":["explainable-ai","interpretable-ai","interpretable-machine-learning","iris-dataset","machine-learning","xai"],"created_at":"2025-10-10T14:47:18.300Z","updated_at":"2025-10-10T14:47:19.364Z","avatar_url":"https://github.com/CursedSeraphim.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Neural Additive Models for PyTorch\nAn implementation of a simple [Neural Additive Model](https://neural-additive-models.github.io/). ([Agarwal et al. 2020](https://arxiv.org/abs/2004.13912)) in PyTorch. It is applied to the Iris dataset for classification and feature map visualization.\n\n![iris_feature_maps](https://user-images.githubusercontent.com/29144639/193257422-80744e25-f5cb-4824-8e46-96a27a2f5a61.png)\n\n# TODOs\n* Implement the ExU\n* Implement Binary Classification model structure\n* Implement Regression model structure\n* Implement a more general framework / classes / functions that perform the feature map visualization on arbitrary datasets\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcursedseraphim%2Fnam-torch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcursedseraphim%2Fnam-torch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcursedseraphim%2Fnam-torch/lists"}