{"adoption": {"forks": 461, "observed_at": "2026-08-28T04:06:59.145189+00:00", "stars": 2536}, "canonical_url": "https://ross.abutalabs.com/products/ugatit-pytorch", "card": {"archived": false, "artifact_type": "library", "description": "Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation", "domain": ["deep-learning", "computer-vision", "image-processing", "artificial-intelligence"], "enriched": true, "function": ["image-processing", "machine-learning", "deep-learning"], "health_score": 20, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["znxlwm/UGATIT-pytorch"], "name": "znxlwm/UGATIT-pytorch", "platform": ["python"], "pushed_at": "2023-03-16T02:38:05+00:00", "repo": "znxlwm/UGATIT-pytorch", "stars": 2536, "tags": ["gan", "image-to-image-translation", "pytorch", "attention", "selfie2anime", "research-code", "gpu", "linux"], "topics": [], "urls": [], "use_cases": ["convert selfie photos to anime style", "train an unsupervised image-to-image translation model", "reproduce U-GAT-IT paper results in PyTorch", "translate images between two unpaired image domains", "experiment with attention-based GAN architectures"], "what_it_is": "Official PyTorch implementation of U-GAT-IT, an unsupervised image-to-image translation model using attention modules and adaptive layer-instance normalization (AdaLIN). It trains GAN-based models to translate images between domains, such as selfies to anime portraits.", "when_to_avoid": ["you need a maintained production-ready image translation pipeline", "you want paired pix2pix-style translation with aligned training data", "you lack a GPU, since training is memory-intensive"], "when_to_choose": ["you need unsupervised domain-to-domain image translation without paired data", "you want the official reference implementation of the U-GAT-IT paper", "your translation task involves large shape and texture changes, like selfie-to-anime"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/ugatit-pytorch", "repo": "znxlwm/UGATIT-pytorch", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:25:14.102882+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09a169d2d9e559d0665461dfbf1ad1a8e1b91f9dc369a055ff820481bec3673b", "fetched_at": "2026-08-28T04:06:59.145189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/znxlwm/UGATIT-pytorch"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:25:14.102882+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09a169d2d9e559d0665461dfbf1ad1a8e1b91f9dc369a055ff820481bec3673b", "fetched_at": "2026-08-28T04:06:59.145189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/znxlwm/UGATIT-pytorch"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:25:14.102882+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09a169d2d9e559d0665461dfbf1ad1a8e1b91f9dc369a055ff820481bec3673b", "fetched_at": "2026-08-28T04:06:59.145189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/znxlwm/UGATIT-pytorch"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:25:14.102882+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09a169d2d9e559d0665461dfbf1ad1a8e1b91f9dc369a055ff820481bec3673b", "fetched_at": "2026-08-28T04:06:59.145189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/znxlwm/UGATIT-pytorch"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:25:14.102882+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09a169d2d9e559d0665461dfbf1ad1a8e1b91f9dc369a055ff820481bec3673b", "fetched_at": "2026-08-28T04:06:59.145189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/znxlwm/UGATIT-pytorch"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:25:14.102882+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09a169d2d9e559d0665461dfbf1ad1a8e1b91f9dc369a055ff820481bec3673b", "fetched_at": "2026-08-28T04:06:59.145189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/znxlwm/UGATIT-pytorch"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:59.145189+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:25:14.102882+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09a169d2d9e559d0665461dfbf1ad1a8e1b91f9dc369a055ff820481bec3673b", "fetched_at": "2026-08-28T04:06:59.145189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/znxlwm/UGATIT-pytorch"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:25:14.102882+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09a169d2d9e559d0665461dfbf1ad1a8e1b91f9dc369a055ff820481bec3673b", "fetched_at": "2026-08-28T04:06:59.145189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/znxlwm/UGATIT-pytorch"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:25:14.102882+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09a169d2d9e559d0665461dfbf1ad1a8e1b91f9dc369a055ff820481bec3673b", "fetched_at": "2026-08-28T04:06:59.145189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/znxlwm/UGATIT-pytorch"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:25:14.102882+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "09a169d2d9e559d0665461dfbf1ad1a8e1b91f9dc369a055ff820481bec3673b", "fetched_at": "2026-08-28T04:06:59.145189+00:00", "kind": "readme", "missing": false, "url": "https://github.com/znxlwm/UGATIT-pytorch"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:39:23.370411+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2592, "days_push": 1267, "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}}