{"id":21623213,"url":"https://github.com/timetoai/timediffusion_synth","last_synced_at":"2025-03-18T19:28:22.218Z","repository":{"id":154319852,"uuid":"548535703","full_name":"timetoai/TimeDiffusion_synth","owner":"timetoai","description":"Research Project on synthetic time-series generation","archived":false,"fork":false,"pushed_at":"2022-12-17T06:14:01.000Z","size":11079,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-24T22:11:54.656Z","etag":null,"topics":["data-science","deep-learning","machine-learning","pytorch","synthetic-time-series","time-series"],"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":"2022-10-09T19:15:03.000Z","updated_at":"2024-12-20T08:49:55.000Z","dependencies_parsed_at":null,"dependency_job_id":"cc3a3dd6-a829-4db7-9785-581ad2fc8be3","html_url":"https://github.com/timetoai/TimeDiffusion_synth","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/timetoai%2FTimeDiffusion_synth","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timetoai%2FTimeDiffusion_synth/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timetoai%2FTimeDiffusion_synth/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timetoai%2FTimeDiffusion_synth/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/timetoai","download_url":"https://codeload.github.com/timetoai/TimeDiffusion_synth/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244287954,"owners_count":20428901,"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":["data-science","deep-learning","machine-learning","pytorch","synthetic-time-series","time-series"],"created_at":"2024-11-25T00:12:01.169Z","updated_at":"2025-03-18T19:28:22.186Z","avatar_url":"https://github.com/timetoai.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TimeDiffusion\n\nDiffusion based temporal convolutional model for synthetic time-series generation. Main focus is on coherence of autoregressive models' results on real and synthetic data.\n\nProject also includes several time-series generation models implementation for performance comparison:\n- QuantGAN\n- TTS GAN\n- RealNVP\n- FourierFlow\n\n**Project structure**\n * [results](./results) - folder with csv results files\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/synth_eval.py](./utils/synth_eval.py) - functions for models evaluation\n   * [utils/timediffusion.py](./utils/timediffusion.py) - TimeDiffusion model\n * [results](./results) - folder with csv results files\n * \u003cModel_Name\u003e_train_synth.ipynb - jupyter notebooks with training and subsequent generation of synthetic data for specific model\n * [synth_model_evaluation.ipynb](./synth_model_evaluation.ipynb) - jupyter notebook with example of generation model quality evaluation\n * [results_visualization.ipynb](./results_visualization.ipynb) - jupyter notebook with visualization of generation models comparison\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimetoai%2Ftimediffusion_synth","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftimetoai%2Ftimediffusion_synth","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimetoai%2Ftimediffusion_synth/lists"}