{"adoption": {"forks": 831, "observed_at": "2026-08-28T04:08:03.740049+00:00", "stars": 3416}, "canonical_url": "https://ross.abutalabs.com/products/faceswap-gan", "card": {"archived": false, "artifact_type": "library", "description": "A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.", "domain": ["deep-learning", "computer-vision", "image-processing", "artificial-intelligence"], "enriched": true, "function": ["machine-learning", "deep-learning", "image-processing", "computer-vision"], "health_score": 20, "homepage": null, "language": "Jupyter Notebook", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["shaoanlu/faceswap-GAN"], "name": "shaoanlu/faceswap-GAN", "platform": ["python", "cross-platform"], "pushed_at": "2022-04-17T10:55:49+00:00", "repo": "shaoanlu/faceswap-GAN", "stars": 3416, "tags": ["face-swap", "gan", "deepfakes", "autoencoder", "keras", "jupyter-notebook", "adversarial-loss", "self-attention", "gpu"], "topics": ["face-swap", "generative-adversarial-network", "gan", "gans", "image-manipulation"], "urls": [], "use_cases": ["swap faces in videos with a GAN model", "train a deepfake face-swapping model", "generate realistic face swaps with adversarial and perceptual losses", "detect and align faces in video for preprocessing", "train face swap models in Google Colab", "experiment with self-attention in GAN face generation"], "what_it_is": "A Jupyter Notebook-based implementation of face swapping using a denoising autoencoder architecture enhanced with adversarial losses, VGGFace perceptual loss, and self-attention mechanisms. It provides notebooks for training models, preprocessing face data with MTCNN detection and alignment, and converting videos.", "when_to_avoid": ["you need a maintained, production-ready face swap tool with active support", "you want a simple CLI or GUI face swap application rather than notebooks", "you require modern TensorFlow/Keras versions, since the code depends on old pinned versions", "you need a permissively licensed project, as no license is specified"], "when_to_choose": ["you want a research-oriented GAN-based face swap implementation with perceptual and adversarial losses", "you prefer notebook-driven workflows for training and video conversion", "you want to experiment with self-attention (SAGAN-style) in face generation models", "you need Colab-based training without local GPU setup"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/faceswap-gan", "repo": "shaoanlu/faceswap-GAN", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:38:27.995511+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8d88d93a9a794201fac7535d2d3456e28793f71bed794341120ca63193960a05", "fetched_at": "2026-08-28T04:08:03.740049+00:00", "kind": "readme", "missing": false, "url": "https://github.com/shaoanlu/faceswap-GAN"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:38:27.995511+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8d88d93a9a794201fac7535d2d3456e28793f71bed794341120ca63193960a05", "fetched_at": "2026-08-28T04:08:03.740049+00:00", "kind": "readme", "missing": false, "url": "https://github.com/shaoanlu/faceswap-GAN"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:38:27.995511+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8d88d93a9a794201fac7535d2d3456e28793f71bed794341120ca63193960a05", "fetched_at": "2026-08-28T04:08:03.740049+00:00", "kind": "readme", "missing": false, "url": "https://github.com/shaoanlu/faceswap-GAN"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:38:27.995511+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8d88d93a9a794201fac7535d2d3456e28793f71bed794341120ca63193960a05", "fetched_at": "2026-08-28T04:08:03.740049+00:00", "kind": "readme", "missing": false, "url": "https://github.com/shaoanlu/faceswap-GAN"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:38:27.995511+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8d88d93a9a794201fac7535d2d3456e28793f71bed794341120ca63193960a05", "fetched_at": "2026-08-28T04:08:03.740049+00:00", "kind": "readme", "missing": false, "url": "https://github.com/shaoanlu/faceswap-GAN"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:38:27.995511+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8d88d93a9a794201fac7535d2d3456e28793f71bed794341120ca63193960a05", "fetched_at": "2026-08-28T04:08:03.740049+00:00", "kind": "readme", "missing": false, "url": "https://github.com/shaoanlu/faceswap-GAN"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:08:03.740049+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:38:27.995511+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8d88d93a9a794201fac7535d2d3456e28793f71bed794341120ca63193960a05", "fetched_at": "2026-08-28T04:08:03.740049+00:00", "kind": "readme", "missing": false, "url": "https://github.com/shaoanlu/faceswap-GAN"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:38:27.995511+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8d88d93a9a794201fac7535d2d3456e28793f71bed794341120ca63193960a05", "fetched_at": "2026-08-28T04:08:03.740049+00:00", "kind": "readme", "missing": false, "url": "https://github.com/shaoanlu/faceswap-GAN"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:38:27.995511+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8d88d93a9a794201fac7535d2d3456e28793f71bed794341120ca63193960a05", "fetched_at": "2026-08-28T04:08:03.740049+00:00", "kind": "readme", "missing": false, "url": "https://github.com/shaoanlu/faceswap-GAN"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:38:27.995511+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8d88d93a9a794201fac7535d2d3456e28793f71bed794341120ca63193960a05", "fetched_at": "2026-08-28T04:08:03.740049+00:00", "kind": "readme", "missing": false, "url": "https://github.com/shaoanlu/faceswap-GAN"}], "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": 3175, "days_push": 1599, "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}}