{"adoption": {"forks": 849, "observed_at": "2026-08-28T04:03:21.322487+00:00", "stars": 1044}, "canonical_url": "https://ross.abutalabs.com/products/modelarts-lab", "card": {"archived": false, "artifact_type": "learning-resource", "description": "ModelArts-Lab是示例代码库。更多AI开发学习交流信息，请访问华为云AI开发者社区：huaweicloud.ai", "domain": ["machine-learning", "deep-learning", "tutorials", "cloud-computing", "computer-vision"], "enriched": true, "function": ["machine-learning", "deep-learning", "data-science"], "health_score": 80, "homepage": null, "language": "Jupyter Notebook", "license": "Apache-2.0", "license_family": "permissive", "maturity": "active", "member_repos": ["huaweicloud/ModelArts-Lab"], "name": "huaweicloud/ModelArts-Lab", "platform": ["python", "cloud"], "pushed_at": "2026-08-25T12:00:17+00:00", "repo": "huaweicloud/ModelArts-Lab", "stars": 1044, "tags": ["huawei-cloud", "modelarts", "jupyter-notebook", "ai-gallery", "sample-code", "model-training", "model-deployment", "exeml", "web-server"], "topics": [], "urls": [], "use_cases": ["learn machine learning on huawei cloud modelarts", "train and deploy image classification models without coding", "jupyter notebook tutorials for ai beginners", "end-to-end model training and deployment examples", "object detection and sound classification sample code", "ai course materials for teaching"], "what_it_is": "A collection of example code and datasets for learning AI development on Huawei Cloud's ModelArts platform. It covers ExeML (no-code model building), Notebook-based interactive development, and end-to-end training and deployment workflows.", "when_to_avoid": ["you use AWS, Azure, GCP, or other non-Huawei cloud platforms", "you need production-grade libraries or SDKs rather than tutorial code", "you require datasets for commercial use - the included datasets are learning-only"], "when_to_choose": ["you are learning AI development on the Huawei Cloud ModelArts platform", "you want guided, hands-on notebooks covering training to deployment", "you need no-code ExeML examples for image, sound, or prediction tasks"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/modelarts-lab", "repo": "huaweicloud/ModelArts-Lab", "role": "main", "score": 67}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:02:13.717908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fadcb7c34af4abf53c23caa811a498d36a7a9921e74716f5072335dc95b0dee5", "fetched_at": "2026-08-28T04:03:21.322487+00:00", "kind": "readme", "missing": false, "url": "https://github.com/huaweicloud/ModelArts-Lab"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:02:13.717908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fadcb7c34af4abf53c23caa811a498d36a7a9921e74716f5072335dc95b0dee5", "fetched_at": "2026-08-28T04:03:21.322487+00:00", "kind": "readme", "missing": false, "url": "https://github.com/huaweicloud/ModelArts-Lab"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:02:13.717908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fadcb7c34af4abf53c23caa811a498d36a7a9921e74716f5072335dc95b0dee5", "fetched_at": "2026-08-28T04:03:21.322487+00:00", "kind": "readme", "missing": false, "url": "https://github.com/huaweicloud/ModelArts-Lab"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:02:13.717908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fadcb7c34af4abf53c23caa811a498d36a7a9921e74716f5072335dc95b0dee5", "fetched_at": "2026-08-28T04:03:21.322487+00:00", "kind": "readme", "missing": false, "url": "https://github.com/huaweicloud/ModelArts-Lab"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:02:13.717908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fadcb7c34af4abf53c23caa811a498d36a7a9921e74716f5072335dc95b0dee5", "fetched_at": "2026-08-28T04:03:21.322487+00:00", "kind": "readme", "missing": false, "url": "https://github.com/huaweicloud/ModelArts-Lab"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:02:13.717908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fadcb7c34af4abf53c23caa811a498d36a7a9921e74716f5072335dc95b0dee5", "fetched_at": "2026-08-28T04:03:21.322487+00:00", "kind": "readme", "missing": false, "url": "https://github.com/huaweicloud/ModelArts-Lab"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:21.322487+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:02:13.717908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fadcb7c34af4abf53c23caa811a498d36a7a9921e74716f5072335dc95b0dee5", "fetched_at": "2026-08-28T04:03:21.322487+00:00", "kind": "readme", "missing": false, "url": "https://github.com/huaweicloud/ModelArts-Lab"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:02:13.717908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fadcb7c34af4abf53c23caa811a498d36a7a9921e74716f5072335dc95b0dee5", "fetched_at": "2026-08-28T04:03:21.322487+00:00", "kind": "readme", "missing": false, "url": "https://github.com/huaweicloud/ModelArts-Lab"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:02:13.717908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fadcb7c34af4abf53c23caa811a498d36a7a9921e74716f5072335dc95b0dee5", "fetched_at": "2026-08-28T04:03:21.322487+00:00", "kind": "readme", "missing": false, "url": "https://github.com/huaweicloud/ModelArts-Lab"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:02:13.717908+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "fadcb7c34af4abf53c23caa811a498d36a7a9921e74716f5072335dc95b0dee5", "fetched_at": "2026-08-28T04:03:21.322487+00:00", "kind": "readme", "missing": false, "url": "https://github.com/huaweicloud/ModelArts-Lab"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 100, "rhythm": 8}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2674, "days_push": 8, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 67, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}