{"id":21623208,"url":"https://github.com/timetoai/timediffusion_forecasting","last_synced_at":"2026-03-07T15:34:56.806Z","repository":{"id":154319855,"uuid":"587226412","full_name":"timetoai/TimeDiffusion_forecasting","owner":"timetoai","description":"Research Project on time-series forecasting","archived":false,"fork":false,"pushed_at":"2023-05-27T08:45:28.000Z","size":738,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-24T10:08:05.516Z","etag":null,"topics":["data-science","deep-learning","machine-learning","pytorch","time-series","time-series-forecasting"],"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/timetoai.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-01-10T08:57:56.000Z","updated_at":"2024-12-20T08:49:53.000Z","dependencies_parsed_at":null,"dependency_job_id":"588901e0-464f-4aae-bfa4-6668bca23ddd","html_url":"https://github.com/timetoai/TimeDiffusion_forecasting","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/timetoai/TimeDiffusion_forecasting","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timetoai%2FTimeDiffusion_forecasting","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timetoai%2FTimeDiffusion_forecasting/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timetoai%2FTimeDiffusion_forecasting/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timetoai%2FTimeDiffusion_forecasting/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/timetoai","download_url":"https://codeload.github.com/timetoai/TimeDiffusion_forecasting/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timetoai%2FTimeDiffusion_forecasting/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30219546,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-07T14:02:48.375Z","status":"ssl_error","status_checked_at":"2026-03-07T14:02:43.192Z","response_time":53,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["data-science","deep-learning","machine-learning","pytorch","time-series","time-series-forecasting"],"created_at":"2024-11-25T00:11:59.651Z","updated_at":"2026-03-07T15:34:56.789Z","avatar_url":"https://github.com/timetoai.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TimeDiffusion model for forecasting\n\nDiffusion based temporal convolutional model for time-series forecasting. Main focus on long term time-series forecasting.\n\n**Project structure**\n * [utils](./utils)\n   * [utils/dl.py](./utils/dl.py) - time-series deep learning models in pytorch with some decorators for training / inference\n   * [utils/data.py](./utils/data.py) - functions for datasets processing\n   * [utils/timediffusion.py](./utils/timediffusion.py) - TimeDiffusion model class\n * [results](./results) - folder with csv results files of model evaluation on different datasets\n * [eval_{```MODEL_NAME```}.py]() - python script for full evaluation pipeline on chosen dataset for ```MODEL_NAME```\n * [TimeDIffussion_exchange_rate_tests.ipynb](./TimeDIffussion_exchange_rate_tests.ipynb) - visualizations of the forecasts\n * [TD_vis.ipynb](./TD_vis.ipynb) - different visualizations\n \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimetoai%2Ftimediffusion_forecasting","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftimetoai%2Ftimediffusion_forecasting","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimetoai%2Ftimediffusion_forecasting/lists"}