{"adoption": {"forks": 1083, "observed_at": "2026-08-28T04:08:53.103682+00:00", "stars": 4539}, "canonical_url": "https://ross.abutalabs.com/products/practical-pytorch", "card": {"archived": true, "artifact_type": "learning-resource", "description": "Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained", "domain": ["deep-learning", "tutorials"], "enriched": true, "function": ["machine-learning", "nlp", "deep-learning"], "health_score": 10, "homepage": null, "language": "Jupyter Notebook", "license": "MIT", "license_family": "permissive", "maturity": "abandoned", "member_repos": ["spro/practical-pytorch"], "name": "spro/practical-pytorch", "platform": ["python", "cross-platform"], "pushed_at": "2021-07-01T04:34:00+00:00", "repo": "spro/practical-pytorch", "stars": 4539, "tags": ["pytorch", "rnn", "seq2seq", "jupyter-notebooks", "deprecated", "natural-language-processing"], "topics": ["natural-language-processing", "natural-language-generation", "nlp", "nlg", "seq2seq"], "urls": [], "use_cases": ["learn pytorch with hands-on notebooks", "character-level rnn text classification tutorial", "seq2seq translation with attention example", "char-rnn text generation in pytorch", "word vectors with glove tutorial"], "what_it_is": "A collection of project-based Jupyter notebook tutorials for learning PyTorch, focused on recurrent neural networks for NLP tasks like classification, generation, and seq2seq translation. It is deprecated and merged into the official PyTorch tutorials repository.", "when_to_avoid": ["you need tutorials compatible with modern PyTorch versions", "you want actively maintained learning material", "you need transformer-based or current NLP techniques"], "when_to_choose": ["you want readable, project-based introductions to RNNs in PyTorch", "you are following a course or blog post that references these notebooks"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/practical-pytorch", "repo": "spro/practical-pytorch", "role": "main", "score": 10}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:20:10.276461+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7278173f80444a06373169feab06e14b219db8b80cc2bbe01a7be8da3c30d3ea", "fetched_at": "2026-08-28T04:08:53.103682+00:00", "kind": "readme", "missing": false, "url": "https://github.com/spro/practical-pytorch"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:20:10.276461+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7278173f80444a06373169feab06e14b219db8b80cc2bbe01a7be8da3c30d3ea", "fetched_at": "2026-08-28T04:08:53.103682+00:00", "kind": "readme", "missing": false, "url": "https://github.com/spro/practical-pytorch"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:20:10.276461+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7278173f80444a06373169feab06e14b219db8b80cc2bbe01a7be8da3c30d3ea", "fetched_at": "2026-08-28T04:08:53.103682+00:00", "kind": "readme", "missing": false, "url": "https://github.com/spro/practical-pytorch"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:20:10.276461+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7278173f80444a06373169feab06e14b219db8b80cc2bbe01a7be8da3c30d3ea", "fetched_at": "2026-08-28T04:08:53.103682+00:00", "kind": "readme", "missing": false, "url": "https://github.com/spro/practical-pytorch"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:20:10.276461+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7278173f80444a06373169feab06e14b219db8b80cc2bbe01a7be8da3c30d3ea", "fetched_at": "2026-08-28T04:08:53.103682+00:00", "kind": "readme", "missing": false, "url": "https://github.com/spro/practical-pytorch"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:20:10.276461+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7278173f80444a06373169feab06e14b219db8b80cc2bbe01a7be8da3c30d3ea", "fetched_at": "2026-08-28T04:08:53.103682+00:00", "kind": "readme", "missing": false, "url": "https://github.com/spro/practical-pytorch"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:08:53.103682+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:20:10.276461+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7278173f80444a06373169feab06e14b219db8b80cc2bbe01a7be8da3c30d3ea", "fetched_at": "2026-08-28T04:08:53.103682+00:00", "kind": "readme", "missing": false, "url": "https://github.com/spro/practical-pytorch"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:20:10.276461+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7278173f80444a06373169feab06e14b219db8b80cc2bbe01a7be8da3c30d3ea", "fetched_at": "2026-08-28T04:08:53.103682+00:00", "kind": "readme", "missing": false, "url": "https://github.com/spro/practical-pytorch"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:20:10.276461+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7278173f80444a06373169feab06e14b219db8b80cc2bbe01a7be8da3c30d3ea", "fetched_at": "2026-08-28T04:08:53.103682+00:00", "kind": "readme", "missing": false, "url": "https://github.com/spro/practical-pytorch"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:20:10.276461+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7278173f80444a06373169feab06e14b219db8b80cc2bbe01a7be8da3c30d3ea", "fetched_at": "2026-08-28T04:08:53.103682+00:00", "kind": "readme", "missing": false, "url": "https://github.com/spro/practical-pytorch"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "archived"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3511, "days_push": 1889, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 10, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}