{"adoption": {"forks": 123, "observed_at": "2026-08-28T04:03:55.322344+00:00", "stars": 1188}, "canonical_url": "https://ross.abutalabs.com/products/pytorchtricks", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Some tricks of pytorch... :star:", "domain": ["deep-learning", "tutorials", "performance"], "enriched": true, "function": ["developer-tools", "machine-learning", "documentation"], "health_score": 20, "homepage": null, "language": null, "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["lartpang/PyTorchTricks"], "name": "lartpang/PyTorchTricks", "platform": ["python"], "pushed_at": "2024-06-20T07:40:54+00:00", "repo": "lartpang/PyTorchTricks", "stars": 1188, "tags": ["pytorch", "training-tips", "inference-acceleration", "dataloader", "gpu-optimization", "curated-links", "gpu"], "topics": ["pytorch", "pytorch-trick", "pytorch-tutorial", "tricks"], "urls": [], "use_cases": ["speed up pytorch dataloader", "reduce gpu memory usage in pytorch training", "accelerate pytorch inference", "learn pytorch optimization tricks", "make image loading faster in pytorch", "pytorch model compression and quantization resources"], "what_it_is": "A curated collection of PyTorch tips and tricks covering training speedup, data loading optimization, memory savings, and inference acceleration, organized as a document with links to references. It is a knowledge resource rather than a runnable library.", "when_to_avoid": ["you need runnable code or a pip-installable library", "you want up-to-date coverage of the latest PyTorch features, as updates are infrequent", "you need official documentation rather than community-collected tips"], "when_to_choose": ["you want a curated reference of PyTorch performance techniques with links to original sources", "you are diagnosing slow data loading or training in PyTorch", "you want to learn memory-saving and inference-speedup strategies"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/pytorchtricks", "repo": "lartpang/PyTorchTricks", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T06:23:36.880145+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d34f0939b80ab7de2b8df4fd5dacdf6752aade512f85f891106a532d243867c0", "fetched_at": "2026-08-28T04:03:55.322344+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lartpang/PyTorchTricks"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T06:23:36.880145+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d34f0939b80ab7de2b8df4fd5dacdf6752aade512f85f891106a532d243867c0", "fetched_at": "2026-08-28T04:03:55.322344+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lartpang/PyTorchTricks"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T06:23:36.880145+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d34f0939b80ab7de2b8df4fd5dacdf6752aade512f85f891106a532d243867c0", "fetched_at": "2026-08-28T04:03:55.322344+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lartpang/PyTorchTricks"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T06:23:36.880145+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d34f0939b80ab7de2b8df4fd5dacdf6752aade512f85f891106a532d243867c0", "fetched_at": "2026-08-28T04:03:55.322344+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lartpang/PyTorchTricks"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T06:23:36.880145+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d34f0939b80ab7de2b8df4fd5dacdf6752aade512f85f891106a532d243867c0", "fetched_at": "2026-08-28T04:03:55.322344+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lartpang/PyTorchTricks"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T06:23:36.880145+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d34f0939b80ab7de2b8df4fd5dacdf6752aade512f85f891106a532d243867c0", "fetched_at": "2026-08-28T04:03:55.322344+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lartpang/PyTorchTricks"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:03:55.322344+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T06:23:36.880145+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d34f0939b80ab7de2b8df4fd5dacdf6752aade512f85f891106a532d243867c0", "fetched_at": "2026-08-28T04:03:55.322344+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lartpang/PyTorchTricks"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T06:23:36.880145+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d34f0939b80ab7de2b8df4fd5dacdf6752aade512f85f891106a532d243867c0", "fetched_at": "2026-08-28T04:03:55.322344+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lartpang/PyTorchTricks"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T06:23:36.880145+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d34f0939b80ab7de2b8df4fd5dacdf6752aade512f85f891106a532d243867c0", "fetched_at": "2026-08-28T04:03:55.322344+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lartpang/PyTorchTricks"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T06:23:36.880145+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "d34f0939b80ab7de2b8df4fd5dacdf6752aade512f85f891106a532d243867c0", "fetched_at": "2026-08-28T04:03:55.322344+00:00", "kind": "readme", "missing": false, "url": "https://github.com/lartpang/PyTorchTricks"}], "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": 2445, "days_push": 804, "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}}