{"id":17223964,"url":"https://github.com/adeelh/pytorch-sequential-helpers","last_synced_at":"2026-05-03T19:33:49.486Z","repository":{"id":81355717,"uuid":"202945476","full_name":"AdeelH/pytorch-sequential-helpers","owner":"AdeelH","description":"Some helper PyTorch modules that allow complex networks to be expressed as Sequentials","archived":false,"fork":false,"pushed_at":"2020-08-07T13:50:50.000Z","size":7,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-11T15:09:57.157Z","etag":null,"topics":["deep-learning","neural-network","neural-networks","pytorch"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AdeelH.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2019-08-18T01:02:50.000Z","updated_at":"2020-09-03T10:26:40.000Z","dependencies_parsed_at":null,"dependency_job_id":"ba7b64ad-ed80-4f79-a4fe-496b9be82b75","html_url":"https://github.com/AdeelH/pytorch-sequential-helpers","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AdeelH/pytorch-sequential-helpers","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdeelH%2Fpytorch-sequential-helpers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdeelH%2Fpytorch-sequential-helpers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdeelH%2Fpytorch-sequential-helpers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdeelH%2Fpytorch-sequential-helpers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AdeelH","download_url":"https://codeload.github.com/AdeelH/pytorch-sequential-helpers/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdeelH%2Fpytorch-sequential-helpers/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32582779,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-03T06:36:36.687Z","status":"ssl_error","status_checked_at":"2026-05-03T06:36:09.306Z","response_time":103,"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":["deep-learning","neural-network","neural-networks","pytorch"],"created_at":"2024-10-15T04:09:41.786Z","updated_at":"2026-05-03T19:33:49.469Z","avatar_url":"https://github.com/AdeelH.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# pytorch-sequential-helpers\nSome helper modules that allow complex networks (particulary those with parallel data flows) to be expressed as a single Sequential.\n\n# Example\n\n**Pass same input to 2 different NN branches and merge the results by adding**\n```{python3}\nnn.Sequential(\n  Parallel(branch1, branch2),\n  Add()\n)\n```\n\n**Split the RGB channels of a batch of images, pass each to a different NN branch, and concat the results**\n```{python3}\nnn.Sequential(\n  Split((1, 1, 1), dim=1),\n  Parallel(branch1, branch2, branch3),\n  Concat(dim=1)\n)\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadeelh%2Fpytorch-sequential-helpers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadeelh%2Fpytorch-sequential-helpers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadeelh%2Fpytorch-sequential-helpers/lists"}