{"id":16729876,"url":"https://github.com/dfdx/hqdl.jl","last_synced_at":"2026-01-02T17:08:19.445Z","repository":{"id":44788379,"uuid":"448412460","full_name":"dfdx/HQDL.jl","owner":"dfdx","description":"Curated list of high-quality operators for deep learning in Julia","archived":false,"fork":false,"pushed_at":"2022-02-23T22:50:31.000Z","size":45,"stargazers_count":40,"open_issues_count":2,"forks_count":1,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-01-22T07:16:55.326Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Julia","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/dfdx.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}},"created_at":"2022-01-15T23:16:18.000Z","updated_at":"2024-10-29T02:01:38.000Z","dependencies_parsed_at":"2022-09-19T07:01:35.097Z","dependency_job_id":null,"html_url":"https://github.com/dfdx/HQDL.jl","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/dfdx%2FHQDL.jl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfdx%2FHQDL.jl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfdx%2FHQDL.jl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfdx%2FHQDL.jl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dfdx","download_url":"https://codeload.github.com/dfdx/HQDL.jl/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243763238,"owners_count":20344190,"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":"2024-10-12T23:30:20.314Z","updated_at":"2026-01-02T17:08:19.407Z","avatar_url":"https://github.com/dfdx.png","language":"Julia","funding_links":[],"categories":[],"sub_categories":[],"readme":"# High-Quality Deep Learning\n\nCurated list of high-quality operators for machine learning. See [REPORT.md](REPORT.md) for the current state of the ecosystem.\n\nYou can also test a new function using the `@inspect` or `@inspect!` macros:\n\n```julia\nimport Pkg\nPkg.add(\"https://github.com/dfdx/HQDL.jl\")\n\nimport HQDL\nimport NNlib\n\nHQDL.@inspect NNlib.softmax(r(3,4))\n```\n\n\u003e :warning: This is the very beginning of the project, so many false negative results are expected. On the other hand, even positive result in the report by itself doesn't guarantee the correctness of implementation and thus doesn't avoid necesserity of the usual unit tests.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdfdx%2Fhqdl.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdfdx%2Fhqdl.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdfdx%2Fhqdl.jl/lists"}