{"data":{"slug":"automl-auto-pytorch","name":"Auto-PyTorch","tagline":"Automatic architecture search and hyperparameter optimization for PyTorch","github_url":"https://github.com/automl/Auto-PyTorch","owner":"automl","repo":"Auto-PyTorch","owner_avatar_url":"https://avatars.githubusercontent.com/u/6469053?v=4","primary_language":"Python","stars":2539,"forks":303,"topics":["automl","deep-learning","pytorch","tabular-data"],"archived":false,"github_pushed_at":"2024-04-09T06:17:08+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/automl-auto-pytorch","markdown_url":"https://www.graphcanon.com/tools/automl-auto-pytorch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/automl-auto-pytorch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=automl-auto-pytorch","description":"Automatic architecture search and hyperparameter optimization for PyTorch","homepage_url":null,"license":"Apache-2.0","open_issues":75,"watchers":46,"ai_summary":null,"readme_excerpt":"### PyPI Installation\n\n```sh\n\npip install autoPyTorch\n\n```\n\nAuto-PyTorch for Time Series Forecasting requires additional dependencies \n\n```sh\n\npip install autoPyTorch[forecasting]\n\n```\n\n---\n\n### Manual Installation\n\nWe recommend using Anaconda for developing as follows:\n\n```sh\n\n---\n\n## License\n\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the Apache license 2.0 (please see the LICENSE file).\n\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.\n\nYou should have received a copy of the Apache license 2.0\nalong with this program (see LICENSE file).","github_created_at":"2018-11-30T08:18:34+00:00","created_at":"2026-07-11T23:33:18.599736+00:00","updated_at":"2026-07-11T23:33:26.615118+00:00","categories":[{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"automl","name":"automl"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"python","name":"python"},{"slug":"tabular-data","name":"tabular-data"},{"slug":"pytorch","name":"pytorch"}],"trust":{"provenance":{"is_fork":false,"github_id":159791040,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:33:21.521Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":823,"last_release_at":"2022-08-23T16:45:37Z"},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":40,"high_count":0,"last_scan_at":"2026-07-11T23:33:22.061Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T23:33:21.153Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-07-11T23:33:21.153Z","managed_saas":false},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-11T23:33:21.153Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-07-11T23:33:21.153Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-11T23:33:21.153Z"}}}}