{"id":29103196,"url":"https://github.com/realiti4/tft-pytorch","last_synced_at":"2026-03-09T15:02:01.978Z","repository":{"id":139827227,"uuid":"433201930","full_name":"realiti4/tft-pytorch","owner":"realiti4","description":"Pytorch Temporal Fusion Transformers","archived":false,"fork":false,"pushed_at":"2021-12-09T07:04:09.000Z","size":156,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-28T23:09:03.707Z","etag":null,"topics":["data-science","deep-learning","forecasting","machine-learning","pytorch","time-series","timeseries-forecasting"],"latest_commit_sha":null,"homepage":"","language":"Python","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/realiti4.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":"2021-11-29T21:26:09.000Z","updated_at":"2025-06-10T03:31:57.000Z","dependencies_parsed_at":"2023-09-22T07:18:15.965Z","dependency_job_id":null,"html_url":"https://github.com/realiti4/tft-pytorch","commit_stats":{"total_commits":22,"total_committers":2,"mean_commits":11.0,"dds":0.2727272727272727,"last_synced_commit":"d9e1a0587c4913b9063a08dc54032a06502f806a"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/realiti4/tft-pytorch","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/realiti4%2Ftft-pytorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/realiti4%2Ftft-pytorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/realiti4%2Ftft-pytorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/realiti4%2Ftft-pytorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/realiti4","download_url":"https://codeload.github.com/realiti4/tft-pytorch/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/realiti4%2Ftft-pytorch/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30299856,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-09T14:33:48.460Z","status":"ssl_error","status_checked_at":"2026-03-09T14:33:48.027Z","response_time":61,"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","forecasting","machine-learning","pytorch","time-series","timeseries-forecasting"],"created_at":"2025-06-28T23:09:00.488Z","updated_at":"2026-03-09T15:02:01.927Z","avatar_url":"https://github.com/realiti4.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# tft-pytorch\nPytorch Temporal Fusion Transformers\n\nWIP: \n\n- Check `model.py` for now. It is working but messy.\n- Check `data_formatters/script_download_data.py` to download datasets. See the last 2 lines and change the name to download which dataset you want to download, then run it.\n\n\nThe main model is taken from pytorch-forecasting. The problem with libraries like that it can be really hard to debug what is going on if you want to understand. I also couldn't replicate the original results. This repo is great if you want more control over your data processing and understand the implementation.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frealiti4%2Ftft-pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frealiti4%2Ftft-pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frealiti4%2Ftft-pytorch/lists"}