{"id":18829907,"url":"https://github.com/nilmtk/buildsys2019-paper-notebooks","last_synced_at":"2025-07-18T12:39:03.065Z","repository":{"id":68429224,"uuid":"206766328","full_name":"nilmtk/buildsys2019-paper-notebooks","owner":"nilmtk","description":null,"archived":false,"fork":false,"pushed_at":"2019-12-12T19:16:22.000Z","size":4157,"stargazers_count":22,"open_issues_count":0,"forks_count":12,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-27T17:46:09.324Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/nilmtk.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":"2019-09-06T10:01:17.000Z","updated_at":"2024-05-16T05:17:37.000Z","dependencies_parsed_at":"2023-03-13T20:27:53.397Z","dependency_job_id":null,"html_url":"https://github.com/nilmtk/buildsys2019-paper-notebooks","commit_stats":{"total_commits":6,"total_committers":1,"mean_commits":6.0,"dds":0.0,"last_synced_commit":"af93ceaaecc85dc4f5234d4cba41c03d1b8b44cf"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nilmtk%2Fbuildsys2019-paper-notebooks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nilmtk%2Fbuildsys2019-paper-notebooks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nilmtk%2Fbuildsys2019-paper-notebooks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nilmtk%2Fbuildsys2019-paper-notebooks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nilmtk","download_url":"https://codeload.github.com/nilmtk/buildsys2019-paper-notebooks/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248818516,"owners_count":21166438,"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":"2024-11-08T01:47:00.416Z","updated_at":"2025-04-14T03:40:48.858Z","avatar_url":"https://github.com/nilmtk.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n**Many changes have been done to the NILMTK-API. The code needs to be changed slightly in order to make it run with the API. Refer to the NILMTK-contrib about the latest documentation.**\n\n# Buildsys 2019 Paper Notebooks!\n\nIn this repository you can find the notebooks that are associated with the paper results of the [NILMTK's Buildsys 2019 paper]([https://nipunbatra.github.io/papers/batra_buildsys_19.pdf](https://nipunbatra.github.io/papers/batra_buildsys_19.pdf)). The notebooks demonstrate the power of the new API. \n\n# Experiments\nThe algorithms used in the paper are as follows\n\n- Mean Algorithm\n- Hart's Algorithm\n- Combinatorial Optimization\n- Exact FHMM\n- Discriminative Sparse Coding\n- Additive FHMM\n- Additive FHMM with SAC (Signal Aggregate Constraints)\n- Denoising Auto Encoder\n- RNN\n- WindowGRU\n- Seq2Point\n- Seq2Seq\n\n# Notebooks\nAlgorithms such as AFHMM, AFHMM with SAC and Discriminative Sparse Coding are CPU intensive. All the neural networks are GPU intensive, so the a single experiment had to be run of different types of machines. All the CPU intensive algorithms were run on very powerful CPU system and every other algorithm was run on a system with a GPU. So, for every experiment we have  two different notebooks - one for CPU algorithms and another for everything else. \n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnilmtk%2Fbuildsys2019-paper-notebooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnilmtk%2Fbuildsys2019-paper-notebooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnilmtk%2Fbuildsys2019-paper-notebooks/lists"}