{"adoption": {"forks": 720, "observed_at": "2026-08-28T04:06:55.756548+00:00", "stars": 2489}, "canonical_url": "https://ross.abutalabs.com/products/ml-tutorial-experiment", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Coding the Machine Learning Tutorial for Learning to Learn", "domain": ["machine-learning", "deep-learning", "tutorials"], "enriched": true, "function": ["machine-learning", "deep-learning"], "health_score": 20, "homepage": null, "language": "Jupyter Notebook", "license": null, "license_family": "other", "maturity": "abandoned", "member_repos": ["jiqizhixin/ML-Tutorial-Experiment"], "name": "jiqizhixin/ML-Tutorial-Experiment", "platform": ["python", "cross-platform"], "pushed_at": "2019-02-25T01:11:41+00:00", "repo": "jiqizhixin/ML-Tutorial-Experiment", "stars": 2489, "tags": ["jupyter-notebooks", "tensorflow", "keras", "cnn", "gan", "capsnet", "chinese-language", "educational"], "topics": [], "urls": [], "use_cases": ["learn to build a CNN from scratch in TensorFlow", "understand and implement GANs with theory derivations", "study CapsNet architecture with code", "practice deep learning with LeNet-5 and Keras examples", "follow along with machine learning tutorial articles"], "what_it_is": "A collection of Jupyter Notebook tutorials from Jiqizhixin (Synced) that implement machine learning models from scratch, including CNNs, GANs, and CapsNets using TensorFlow and Keras. It accompanies a series of Chinese-language 'Learning to Learn' tutorial articles.", "when_to_avoid": ["you need production-ready or maintained ML code", "you require a licensed library for a project", "you need up-to-date TensorFlow 2.x or PyTorch examples"], "when_to_choose": ["you want hands-on notebook-based tutorials for classic deep learning models", "you prefer explanations paired with runnable TensorFlow/Keras code", "you are learning ML fundamentals from scratch"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/ml-tutorial-experiment", "repo": "jiqizhixin/ML-Tutorial-Experiment", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:27:50.613850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f8c6fc4434a4773ee96d0d32b782c0d92d746c99d9ab9bedfdf9affe6bac59a4", "fetched_at": "2026-08-28T04:06:55.756548+00:00", "kind": "readme", "missing": false, "url": "https://github.com/jiqizhixin/ML-Tutorial-Experiment"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:27:50.613850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f8c6fc4434a4773ee96d0d32b782c0d92d746c99d9ab9bedfdf9affe6bac59a4", "fetched_at": "2026-08-28T04:06:55.756548+00:00", "kind": "readme", "missing": false, "url": "https://github.com/jiqizhixin/ML-Tutorial-Experiment"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:27:50.613850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f8c6fc4434a4773ee96d0d32b782c0d92d746c99d9ab9bedfdf9affe6bac59a4", "fetched_at": "2026-08-28T04:06:55.756548+00:00", "kind": "readme", "missing": false, "url": "https://github.com/jiqizhixin/ML-Tutorial-Experiment"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:27:50.613850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f8c6fc4434a4773ee96d0d32b782c0d92d746c99d9ab9bedfdf9affe6bac59a4", "fetched_at": "2026-08-28T04:06:55.756548+00:00", "kind": "readme", "missing": false, "url": "https://github.com/jiqizhixin/ML-Tutorial-Experiment"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:27:50.613850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f8c6fc4434a4773ee96d0d32b782c0d92d746c99d9ab9bedfdf9affe6bac59a4", "fetched_at": "2026-08-28T04:06:55.756548+00:00", "kind": "readme", "missing": false, "url": "https://github.com/jiqizhixin/ML-Tutorial-Experiment"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:27:50.613850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f8c6fc4434a4773ee96d0d32b782c0d92d746c99d9ab9bedfdf9affe6bac59a4", "fetched_at": "2026-08-28T04:06:55.756548+00:00", "kind": "readme", "missing": false, "url": "https://github.com/jiqizhixin/ML-Tutorial-Experiment"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:55.756548+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:27:50.613850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f8c6fc4434a4773ee96d0d32b782c0d92d746c99d9ab9bedfdf9affe6bac59a4", "fetched_at": "2026-08-28T04:06:55.756548+00:00", "kind": "readme", "missing": false, "url": "https://github.com/jiqizhixin/ML-Tutorial-Experiment"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:27:50.613850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f8c6fc4434a4773ee96d0d32b782c0d92d746c99d9ab9bedfdf9affe6bac59a4", "fetched_at": "2026-08-28T04:06:55.756548+00:00", "kind": "readme", "missing": false, "url": "https://github.com/jiqizhixin/ML-Tutorial-Experiment"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:27:50.613850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f8c6fc4434a4773ee96d0d32b782c0d92d746c99d9ab9bedfdf9affe6bac59a4", "fetched_at": "2026-08-28T04:06:55.756548+00:00", "kind": "readme", "missing": false, "url": "https://github.com/jiqizhixin/ML-Tutorial-Experiment"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:27:50.613850+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f8c6fc4434a4773ee96d0d32b782c0d92d746c99d9ab9bedfdf9affe6bac59a4", "fetched_at": "2026-08-28T04:06:55.756548+00:00", "kind": "readme", "missing": false, "url": "https://github.com/jiqizhixin/ML-Tutorial-Experiment"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3292, "days_push": 2747, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}