{"adoption": {"forks": 294, "observed_at": "2026-08-28T04:05:01.905778+00:00", "stars": 1548}, "canonical_url": "https://ross.abutalabs.com/products/patchy631-machine-learning", "card": {"archived": false, "artifact_type": "learning-resource", "description": null, "domain": ["machine-learning", "deep-learning", "tutorials", "data-science", "computer-vision"], "enriched": true, "function": ["machine-learning", "nlp", "computer-vision", "data-visualization", "deep-learning"], "health_score": 20, "homepage": null, "language": "Jupyter Notebook", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["patchy631/machine-learning"], "name": "patchy631/machine-learning", "platform": ["python"], "pushed_at": "2024-11-10T15:08:00+00:00", "repo": "patchy631/machine-learning", "stars": 1548, "tags": ["jupyter-notebooks", "tutorials", "mlops", "llms", "pytorch", "tensorflow", "pandas", "numpy", "matplotlib", "natural-language-processing"], "topics": [], "urls": [], "use_cases": ["learn machine learning with python notebooks", "tutorial on large language models", "get started with pytorch and tensorflow", "learn pandas and numpy for data analysis", "understand mlops best practices", "computer vision examples for beginners", "nlp tutorial code"], "what_it_is": "A collection of Jupyter Notebook tutorials covering machine learning topics from Python basics to LLMs and MLOps, accompanying the author's Twitter tutorials. It is educational material rather than a reusable software library.", "when_to_avoid": ["you need a production-ready ML library or framework", "you need maintained, tested software to depend on", "you want a structured course with assessments rather than example notebooks"], "when_to_choose": ["you want hands-on notebook examples for ML concepts", "you follow the author's Twitter tutorials and want the code", "you are a beginner exploring ML, NLP, CV, or LLMs"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/patchy631-machine-learning", "repo": "patchy631/machine-learning", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:30:26.255785+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f0bb154a3800532a1b907afb0481b557ec09301110fbf8f9845f84d417996141", "fetched_at": "2026-08-28T04:05:01.905778+00:00", "kind": "readme", "missing": false, "url": "https://github.com/patchy631/machine-learning"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:30:26.255785+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f0bb154a3800532a1b907afb0481b557ec09301110fbf8f9845f84d417996141", "fetched_at": "2026-08-28T04:05:01.905778+00:00", "kind": "readme", "missing": false, "url": "https://github.com/patchy631/machine-learning"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:30:26.255785+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f0bb154a3800532a1b907afb0481b557ec09301110fbf8f9845f84d417996141", "fetched_at": "2026-08-28T04:05:01.905778+00:00", "kind": "readme", "missing": false, "url": "https://github.com/patchy631/machine-learning"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:30:26.255785+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f0bb154a3800532a1b907afb0481b557ec09301110fbf8f9845f84d417996141", "fetched_at": "2026-08-28T04:05:01.905778+00:00", "kind": "readme", "missing": false, "url": "https://github.com/patchy631/machine-learning"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:30:26.255785+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f0bb154a3800532a1b907afb0481b557ec09301110fbf8f9845f84d417996141", "fetched_at": "2026-08-28T04:05:01.905778+00:00", "kind": "readme", "missing": false, "url": "https://github.com/patchy631/machine-learning"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:30:26.255785+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f0bb154a3800532a1b907afb0481b557ec09301110fbf8f9845f84d417996141", "fetched_at": "2026-08-28T04:05:01.905778+00:00", "kind": "readme", "missing": false, "url": "https://github.com/patchy631/machine-learning"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:01.905778+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:30:26.255785+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f0bb154a3800532a1b907afb0481b557ec09301110fbf8f9845f84d417996141", "fetched_at": "2026-08-28T04:05:01.905778+00:00", "kind": "readme", "missing": false, "url": "https://github.com/patchy631/machine-learning"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:30:26.255785+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f0bb154a3800532a1b907afb0481b557ec09301110fbf8f9845f84d417996141", "fetched_at": "2026-08-28T04:05:01.905778+00:00", "kind": "readme", "missing": false, "url": "https://github.com/patchy631/machine-learning"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:30:26.255785+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f0bb154a3800532a1b907afb0481b557ec09301110fbf8f9845f84d417996141", "fetched_at": "2026-08-28T04:05:01.905778+00:00", "kind": "readme", "missing": false, "url": "https://github.com/patchy631/machine-learning"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:30:26.255785+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "f0bb154a3800532a1b907afb0481b557ec09301110fbf8f9845f84d417996141", "fetched_at": "2026-08-28T04:05:01.905778+00:00", "kind": "readme", "missing": false, "url": "https://github.com/patchy631/machine-learning"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1554, "days_push": 661, "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}}