{"adoption": {"forks": 255, "observed_at": "2026-08-28T04:07:26.518594+00:00", "stars": 2865}, "canonical_url": "https://ross.abutalabs.com/products/papers-in-100-lines-of-code", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Implementation of papers in 100 lines of code.", "domain": ["deep-learning", "machine-learning", "education", "tutorials", "artificial-intelligence"], "enriched": true, "function": ["deep-learning", "machine-learning", "reinforcement-learning", "llm-training"], "health_score": 80, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["MaximeVandegar/Papers-in-100-Lines-of-Code"], "name": "MaximeVandegar/Papers-in-100-Lines-of-Code", "platform": ["python"], "pushed_at": "2026-08-26T19:16:28+00:00", "repo": "MaximeVandegar/Papers-in-100-Lines-of-Code", "stars": 2865, "tags": ["papers", "pytorch", "educational", "minimal-implementations", "generative-models", "diffusion-models", "gans", "nerf", "reinforcement-learning", "meta-learning"], "topics": ["python", "research", "deep-learning", "machine-learning", "implementation-of-research-paper", "educational", "pytorch", "papers", "generative-model", "inverse-rendering", "nerf", "artificial-intelligence", "gans", "aes", "3d", "meta-learning", "neural-radiance-fields", "reinforcement-learning", "rl", "diffusion-models"], "urls": [], "use_cases": ["learn how GANs work by reading minimal code", "understand diffusion models implementation from scratch", "study deep Q-learning for Atari in a small codebase", "implement NeRF in a few lines of PyTorch", "find concise reference implementations of classic ML papers", "teach deep learning concepts with minimal examples"], "what_it_is": "A curated collection of 63+ machine learning research papers implemented from scratch in roughly 100 lines of Python/PyTorch each. It serves as an educational resource for understanding core algorithms like GANs, VAEs, diffusion models, NeRF, and deep reinforcement learning.", "when_to_avoid": ["you need production-ready, optimized, or feature-complete implementations", "you need maintained libraries with APIs and documentation", "you need scalable training pipelines for large datasets"], "when_to_choose": ["you want to understand the core math of a paper without framework overhead", "you need a compact reference implementation for study or teaching", "you are learning PyTorch through real research code"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/papers-in-100-lines-of-code", "repo": "MaximeVandegar/Papers-in-100-Lines-of-Code", "role": "main", "score": 77}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:36:13.480809+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3ace36b81eb086bcf92b174395fcdfeb0da55ca037ffae31d310443cc5a51cc1", "fetched_at": "2026-08-28T04:07:26.518594+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:36:13.480809+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3ace36b81eb086bcf92b174395fcdfeb0da55ca037ffae31d310443cc5a51cc1", "fetched_at": "2026-08-28T04:07:26.518594+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:36:13.480809+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3ace36b81eb086bcf92b174395fcdfeb0da55ca037ffae31d310443cc5a51cc1", "fetched_at": "2026-08-28T04:07:26.518594+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:36:13.480809+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3ace36b81eb086bcf92b174395fcdfeb0da55ca037ffae31d310443cc5a51cc1", "fetched_at": "2026-08-28T04:07:26.518594+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:36:13.480809+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3ace36b81eb086bcf92b174395fcdfeb0da55ca037ffae31d310443cc5a51cc1", "fetched_at": "2026-08-28T04:07:26.518594+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:36:13.480809+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3ace36b81eb086bcf92b174395fcdfeb0da55ca037ffae31d310443cc5a51cc1", "fetched_at": "2026-08-28T04:07:26.518594+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:26.518594+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:36:13.480809+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3ace36b81eb086bcf92b174395fcdfeb0da55ca037ffae31d310443cc5a51cc1", "fetched_at": "2026-08-28T04:07:26.518594+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:36:13.480809+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3ace36b81eb086bcf92b174395fcdfeb0da55ca037ffae31d310443cc5a51cc1", "fetched_at": "2026-08-28T04:07:26.518594+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:36:13.480809+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3ace36b81eb086bcf92b174395fcdfeb0da55ca037ffae31d310443cc5a51cc1", "fetched_at": "2026-08-28T04:07:26.518594+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:36:13.480809+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3ace36b81eb086bcf92b174395fcdfeb0da55ca037ffae31d310443cc5a51cc1", "fetched_at": "2026-08-28T04:07:26.518594+00:00", "kind": "readme", "missing": false, "url": "https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2138, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 77, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}