{"adoption": {"forks": 267, "observed_at": "2026-08-28T04:05:32.507629+00:00", "stars": 1759}, "canonical_url": "https://ross.abutalabs.com/products/knowledge-distillation-zoo", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Pytorch implementation of various Knowledge Distillation (KD) methods.", "domain": ["deep-learning", "machine-learning", "developer-tools"], "enriched": true, "function": ["machine-learning", "deep-learning", "llm-training"], "health_score": 20, "homepage": null, "language": "Python", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["AberHu/Knowledge-Distillation-Zoo"], "name": "AberHu/Knowledge-Distillation-Zoo", "platform": ["python"], "pushed_at": "2021-11-25T06:00:37+00:00", "repo": "AberHu/Knowledge-Distillation-Zoo", "stars": 1759, "tags": ["knowledge-distillation", "model-compression", "pytorch", "teacher-student", "reference-implementation"], "topics": ["kd-methods", "knowledge-transfer", "knowledge-distillation", "kd", "teacher-student", "model-compression", "distillation"], "urls": [], "use_cases": ["implement knowledge distillation in pytorch", "compress a large model into a smaller student network", "compare different KD loss functions", "learn how teacher-student distillation works", "reproduce classic KD papers like attention transfer or FitNet", "find a starting point for model compression research"], "what_it_is": "A PyTorch reference collection implementing many classic knowledge distillation methods (logits, soft target, attention transfer, FitNet, PKT, RKD, etc.). It serves as a study and research baseline rather than a production library.", "when_to_avoid": ["you need a production-ready, maintained distillation framework", "you need advanced techniques like data-free, online, or self-distillation", "you require a licensed dependency in your project (no license is provided)"], "when_to_choose": ["you want simple, readable reference implementations of classic KD methods", "you are doing research or learning about knowledge distillation", "you need baseline KD losses to build on in PyTorch"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/knowledge-distillation-zoo", "repo": "AberHu/Knowledge-Distillation-Zoo", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T03:27:15.558178+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dc7f1bf13904beb75fe458e9615a72548accd4d58ac5c68328a75512ff903fc8", "fetched_at": "2026-08-28T04:05:32.507629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AberHu/Knowledge-Distillation-Zoo"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T03:27:15.558178+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dc7f1bf13904beb75fe458e9615a72548accd4d58ac5c68328a75512ff903fc8", "fetched_at": "2026-08-28T04:05:32.507629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AberHu/Knowledge-Distillation-Zoo"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T03:27:15.558178+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dc7f1bf13904beb75fe458e9615a72548accd4d58ac5c68328a75512ff903fc8", "fetched_at": "2026-08-28T04:05:32.507629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AberHu/Knowledge-Distillation-Zoo"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T03:27:15.558178+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dc7f1bf13904beb75fe458e9615a72548accd4d58ac5c68328a75512ff903fc8", "fetched_at": "2026-08-28T04:05:32.507629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AberHu/Knowledge-Distillation-Zoo"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T03:27:15.558178+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dc7f1bf13904beb75fe458e9615a72548accd4d58ac5c68328a75512ff903fc8", "fetched_at": "2026-08-28T04:05:32.507629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AberHu/Knowledge-Distillation-Zoo"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T03:27:15.558178+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dc7f1bf13904beb75fe458e9615a72548accd4d58ac5c68328a75512ff903fc8", "fetched_at": "2026-08-28T04:05:32.507629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AberHu/Knowledge-Distillation-Zoo"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:05:32.507629+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T03:27:15.558178+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dc7f1bf13904beb75fe458e9615a72548accd4d58ac5c68328a75512ff903fc8", "fetched_at": "2026-08-28T04:05:32.507629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AberHu/Knowledge-Distillation-Zoo"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T03:27:15.558178+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dc7f1bf13904beb75fe458e9615a72548accd4d58ac5c68328a75512ff903fc8", "fetched_at": "2026-08-28T04:05:32.507629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AberHu/Knowledge-Distillation-Zoo"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T03:27:15.558178+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dc7f1bf13904beb75fe458e9615a72548accd4d58ac5c68328a75512ff903fc8", "fetched_at": "2026-08-28T04:05:32.507629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AberHu/Knowledge-Distillation-Zoo"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T03:27:15.558178+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dc7f1bf13904beb75fe458e9615a72548accd4d58ac5c68328a75512ff903fc8", "fetched_at": "2026-08-28T04:05:32.507629+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AberHu/Knowledge-Distillation-Zoo"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+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": 2756, "days_push": 1742, "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}}