{"adoption": {"forks": 5403, "observed_at": "2026-08-28T04:11:28.678412+00:00", "stars": 19466}, "canonical_url": "https://ross.abutalabs.com/products/dive-into-dl-pytorch", "card": {"archived": false, "artifact_type": "learning-resource", "description": "本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。", "domain": ["deep-learning", "machine-learning", "tutorials", "computer-vision"], "enriched": true, "function": ["deep-learning", "machine-learning", "nlp", "computer-vision"], "health_score": 20, "homepage": "http://tangshusen.me/Dive-into-DL-PyTorch", "language": "Jupyter Notebook", "license": "Apache-2.0", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["ShusenTang/Dive-into-DL-PyTorch"], "name": "ShusenTang/Dive-into-DL-PyTorch", "platform": ["python", "cross-platform"], "pushed_at": "2021-10-14T08:59:15+00:00", "repo": "ShusenTang/Dive-into-DL-PyTorch", "stars": 19466, "tags": ["pytorch", "d2l", "jupyter-notebook", "chinese", "tutorial", "textbook-translation", "natural-language-processing"], "topics": ["deep-learning", "deep-learning-tutorial", "pytorch", "pytorch-tutorial", "computer-vision", "natural-language-processing", "d2l"], "urls": [], "use_cases": ["learn deep learning with pytorch", "chinese-language deep learning textbook", "dive into deep learning pytorch edition", "hands-on pytorch tutorials with notebooks", "study computer vision and nlp basics", "convert d2l mxnet examples to pytorch"], "what_it_is": "A Chinese-language adaptation of the 'Dive into Deep Learning' (D2L) textbook that replaces the original MXNet code with PyTorch implementations. It provides Jupyter Notebook tutorials covering deep learning fundamentals through computer vision and NLP applications.", "when_to_avoid": ["you need up-to-date coverage of modern architectures like transformers or LLMs", "you prefer TensorFlow, JAX, or MXNet examples", "you need actively maintained content with recent updates"], "when_to_choose": ["you want to learn deep learning theory alongside runnable PyTorch code", "you prefer Chinese-language instructional material", "you want a free, well-structured alternative to a paid deep learning course"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/dive-into-dl-pytorch", "repo": "ShusenTang/Dive-into-DL-PyTorch", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T17:00:06.543515+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2719db7ef76436aa52205571b1a913efb2b5c5444bc9f3335abbe91266cfb262", "fetched_at": "2026-08-29T07:58:24.318942+00:00", "kind": "homepage", "missing": false, "url": "http://tangshusen.me/Dive-into-DL-PyTorch"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T17:00:06.543515+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2719db7ef76436aa52205571b1a913efb2b5c5444bc9f3335abbe91266cfb262", "fetched_at": "2026-08-29T07:58:24.318942+00:00", "kind": "homepage", "missing": false, "url": "http://tangshusen.me/Dive-into-DL-PyTorch"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T17:00:06.543515+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2719db7ef76436aa52205571b1a913efb2b5c5444bc9f3335abbe91266cfb262", "fetched_at": "2026-08-29T07:58:24.318942+00:00", "kind": "homepage", "missing": false, "url": "http://tangshusen.me/Dive-into-DL-PyTorch"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T17:00:06.543515+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2719db7ef76436aa52205571b1a913efb2b5c5444bc9f3335abbe91266cfb262", "fetched_at": "2026-08-29T07:58:24.318942+00:00", "kind": "homepage", "missing": false, "url": "http://tangshusen.me/Dive-into-DL-PyTorch"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T17:00:06.543515+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2719db7ef76436aa52205571b1a913efb2b5c5444bc9f3335abbe91266cfb262", "fetched_at": "2026-08-29T07:58:24.318942+00:00", "kind": "homepage", "missing": false, "url": "http://tangshusen.me/Dive-into-DL-PyTorch"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T17:00:06.543515+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2719db7ef76436aa52205571b1a913efb2b5c5444bc9f3335abbe91266cfb262", "fetched_at": "2026-08-29T07:58:24.318942+00:00", "kind": "homepage", "missing": false, "url": "http://tangshusen.me/Dive-into-DL-PyTorch"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:11:28.678412+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T17:00:06.543515+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2719db7ef76436aa52205571b1a913efb2b5c5444bc9f3335abbe91266cfb262", "fetched_at": "2026-08-29T07:58:24.318942+00:00", "kind": "homepage", "missing": false, "url": "http://tangshusen.me/Dive-into-DL-PyTorch"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T17:00:06.543515+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2719db7ef76436aa52205571b1a913efb2b5c5444bc9f3335abbe91266cfb262", "fetched_at": "2026-08-29T07:58:24.318942+00:00", "kind": "homepage", "missing": false, "url": "http://tangshusen.me/Dive-into-DL-PyTorch"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T17:00:06.543515+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2719db7ef76436aa52205571b1a913efb2b5c5444bc9f3335abbe91266cfb262", "fetched_at": "2026-08-29T07:58:24.318942+00:00", "kind": "homepage", "missing": false, "url": "http://tangshusen.me/Dive-into-DL-PyTorch"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T17:00:06.543515+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "2719db7ef76436aa52205571b1a913efb2b5c5444bc9f3335abbe91266cfb262", "fetched_at": "2026-08-29T07:58:24.318942+00:00", "kind": "homepage", "missing": false, "url": "http://tangshusen.me/Dive-into-DL-PyTorch"}], "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_readme"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2750, "days_push": 1784, "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}}