{"adoption": {"forks": 1092, "observed_at": "2026-08-28T04:07:44.224088+00:00", "stars": 3118}, "canonical_url": "https://ross.abutalabs.com/products/course-content", "card": {"archived": false, "artifact_type": "learning-resource", "description": "NMA Computational Neuroscience course", "domain": ["machine-learning", "education", "tutorials"], "enriched": true, "function": ["machine-learning", "data-science", "developer-tools"], "health_score": 95, "homepage": "https://compneuro.neuromatch.io", "language": "Jupyter Notebook", "license": "CC-BY-4.0", "license_family": "other", "maturity": "active", "member_repos": ["NeuromatchAcademy/course-content"], "name": "NeuromatchAcademy/course-content", "platform": ["python", "cross-platform"], "pushed_at": "2026-07-14T14:48:31+00:00", "repo": "NeuromatchAcademy/course-content", "stars": 3118, "tags": ["computational-neuroscience", "jupyter-notebooks", "course-material", "open-curriculum", "dynamic-systems", "stochastic-processes", "neuroscience"], "topics": ["neuroscience", "machine-learning", "dynamic-systems", "stochastic-processes"], "urls": [], "use_cases": ["learn computational neuroscience from scratch", "find jupyter notebook tutorials on dynamic systems", "self-study a neuroscience and machine learning curriculum", "teach a computational neuroscience summer course", "access free course materials on stochastic processes in neural systems"], "what_it_is": "The Neuromatch Academy Computational Neuroscience course content: a free, openly licensed curriculum of Jupyter notebook tutorials, videos, and schedules. It teaches computational neuroscience topics alongside machine learning, dynamic systems, and stochastic processes.", "when_to_avoid": ["you need production software or a library", "you want a formal degree or accredited certification", "you lack the stated math and programming prerequisites"], "when_to_choose": ["you want a structured, free curriculum in computational neuroscience", "you prefer hands-on Jupyter notebook tutorials", "you need openly licensed teaching material you can adapt"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/course-content", "repo": "NeuromatchAcademy/course-content", "role": "main", "score": 94}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:26:38.397649+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4e2fbe64e029c32de5d7c58f245194f77e7fbe2cf6f0bd3b02182f7c88039098", "fetched_at": "2026-08-28T04:07:44.224088+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NeuromatchAcademy/course-content"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:41:40.629759+00:00", "kind": "homepage", "missing": false, "url": "https://compneuro.neuromatch.io"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:26:38.397649+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4e2fbe64e029c32de5d7c58f245194f77e7fbe2cf6f0bd3b02182f7c88039098", "fetched_at": "2026-08-28T04:07:44.224088+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NeuromatchAcademy/course-content"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:41:40.629759+00:00", "kind": "homepage", "missing": false, "url": "https://compneuro.neuromatch.io"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:26:38.397649+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4e2fbe64e029c32de5d7c58f245194f77e7fbe2cf6f0bd3b02182f7c88039098", "fetched_at": "2026-08-28T04:07:44.224088+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NeuromatchAcademy/course-content"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:41:40.629759+00:00", "kind": "homepage", "missing": false, "url": "https://compneuro.neuromatch.io"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:26:38.397649+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4e2fbe64e029c32de5d7c58f245194f77e7fbe2cf6f0bd3b02182f7c88039098", "fetched_at": "2026-08-28T04:07:44.224088+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NeuromatchAcademy/course-content"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:41:40.629759+00:00", "kind": "homepage", "missing": false, "url": "https://compneuro.neuromatch.io"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:26:38.397649+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4e2fbe64e029c32de5d7c58f245194f77e7fbe2cf6f0bd3b02182f7c88039098", "fetched_at": "2026-08-28T04:07:44.224088+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NeuromatchAcademy/course-content"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:41:40.629759+00:00", "kind": "homepage", "missing": false, "url": "https://compneuro.neuromatch.io"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:26:38.397649+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4e2fbe64e029c32de5d7c58f245194f77e7fbe2cf6f0bd3b02182f7c88039098", "fetched_at": "2026-08-28T04:07:44.224088+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NeuromatchAcademy/course-content"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:41:40.629759+00:00", "kind": "homepage", "missing": false, "url": "https://compneuro.neuromatch.io"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:44.224088+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:26:38.397649+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4e2fbe64e029c32de5d7c58f245194f77e7fbe2cf6f0bd3b02182f7c88039098", "fetched_at": "2026-08-28T04:07:44.224088+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NeuromatchAcademy/course-content"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:41:40.629759+00:00", "kind": "homepage", "missing": false, "url": "https://compneuro.neuromatch.io"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:26:38.397649+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4e2fbe64e029c32de5d7c58f245194f77e7fbe2cf6f0bd3b02182f7c88039098", "fetched_at": "2026-08-28T04:07:44.224088+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NeuromatchAcademy/course-content"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:41:40.629759+00:00", "kind": "homepage", "missing": false, "url": "https://compneuro.neuromatch.io"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:26:38.397649+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4e2fbe64e029c32de5d7c58f245194f77e7fbe2cf6f0bd3b02182f7c88039098", "fetched_at": "2026-08-28T04:07:44.224088+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NeuromatchAcademy/course-content"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:41:40.629759+00:00", "kind": "homepage", "missing": false, "url": "https://compneuro.neuromatch.io"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:26:38.397649+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4e2fbe64e029c32de5d7c58f245194f77e7fbe2cf6f0bd3b02182f7c88039098", "fetched_at": "2026-08-28T04:07:44.224088+00:00", "kind": "readme", "missing": false, "url": "https://github.com/NeuromatchAcademy/course-content"}, {"content_hash": "44136fa355b3678a1146ad16f7e8649e94fb4fc21fe77e8310c060f61caaff8a", "fetched_at": "2026-08-29T09:41:40.629759+00:00", "kind": "homepage", "missing": false, "url": "https://compneuro.neuromatch.io"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 92, "longevity": 100, "rhythm": 93}, "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": 2306, "days_push": 50, "days_rel": 50, "gap_med": 2, "n_releases_24m": 26}, "score": 94, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}