{"adoption": {"forks": 127, "observed_at": "2026-08-28T04:06:06.899422+00:00", "stars": 2027}, "canonical_url": "https://ross.abutalabs.com/products/ml-fastvit", "card": {"archived": false, "artifact_type": "library", "description": "This repository contains the official implementation of the research paper, \"FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization\" ICCV 2023", "domain": ["deep-learning", "computer-vision", "image-processing", "machine-learning"], "enriched": true, "function": ["machine-learning", "deep-learning", "image-processing", "computer-vision"], "health_score": 20, "homepage": null, "language": "Python", "license": "NOASSERTION", "license_family": "other", "maturity": "maintenance", "member_repos": ["apple/ml-fastvit"], "name": "apple/ml-fastvit", "platform": ["python", "cross-platform"], "pushed_at": "2023-11-30T19:22:00+00:00", "repo": "apple/ml-fastvit", "stars": 2027, "tags": ["vision-transformer", "structural-reparameterization", "image-classification", "pytorch", "coreml", "mobile-inference", "iccv-2023", "model-zoo", "pretrained-models", "gpu", "macos"], "topics": [], "urls": [], "use_cases": ["run fast image classification on mobile devices", "fine-tune a pretrained vision transformer backbone", "use a fast backbone for detection or segmentation tasks", "export vision models to CoreML for iOS inference", "benchmark image classification latency on iPhone", "train a hybrid CNN-transformer model from scratch"], "what_it_is": "Official PyTorch implementation of FastViT, a fast hybrid vision transformer architecture using structural reparameterization, published at ICCV 2023. It provides pretrained ImageNet-1K checkpoints and CoreML models optimized for low latency on mobile devices like iPhone.", "when_to_avoid": ["you need state-of-the-art accuracy regardless of latency", "you don't use PyTorch or Apple's ecosystem", "you need a general-purpose vision library rather than a specific model implementation", "you require frequent updates or long-term support"], "when_to_choose": ["you need a low-latency image classification model for mobile deployment", "you want a pretrained backbone for downstream vision tasks like detection or segmentation", "you target Apple devices and want CoreML-ready models", "you're researching structural reparameterization in vision transformers"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/ml-fastvit", "repo": "apple/ml-fastvit", "role": "main", "score": 28}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:59:41.354398+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31ad4368331f35f883f74536131fef36a9d45fcc1be4be0a0eead878d25a4880", "fetched_at": "2026-08-28T04:06:06.899422+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apple/ml-fastvit"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:59:41.354398+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31ad4368331f35f883f74536131fef36a9d45fcc1be4be0a0eead878d25a4880", "fetched_at": "2026-08-28T04:06:06.899422+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apple/ml-fastvit"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:59:41.354398+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31ad4368331f35f883f74536131fef36a9d45fcc1be4be0a0eead878d25a4880", "fetched_at": "2026-08-28T04:06:06.899422+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apple/ml-fastvit"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:59:41.354398+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31ad4368331f35f883f74536131fef36a9d45fcc1be4be0a0eead878d25a4880", "fetched_at": "2026-08-28T04:06:06.899422+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apple/ml-fastvit"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:59:41.354398+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31ad4368331f35f883f74536131fef36a9d45fcc1be4be0a0eead878d25a4880", "fetched_at": "2026-08-28T04:06:06.899422+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apple/ml-fastvit"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:59:41.354398+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31ad4368331f35f883f74536131fef36a9d45fcc1be4be0a0eead878d25a4880", "fetched_at": "2026-08-28T04:06:06.899422+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apple/ml-fastvit"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:06.899422+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:59:41.354398+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31ad4368331f35f883f74536131fef36a9d45fcc1be4be0a0eead878d25a4880", "fetched_at": "2026-08-28T04:06:06.899422+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apple/ml-fastvit"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:59:41.354398+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31ad4368331f35f883f74536131fef36a9d45fcc1be4be0a0eead878d25a4880", "fetched_at": "2026-08-28T04:06:06.899422+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apple/ml-fastvit"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:59:41.354398+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31ad4368331f35f883f74536131fef36a9d45fcc1be4be0a0eead878d25a4880", "fetched_at": "2026-08-28T04:06:06.899422+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apple/ml-fastvit"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:59:41.354398+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "31ad4368331f35f883f74536131fef36a9d45fcc1be4be0a0eead878d25a4880", "fetched_at": "2026-08-28T04:06:06.899422+00:00", "kind": "readme", "missing": false, "url": "https://github.com/apple/ml-fastvit"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 79, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+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": 1115, "days_push": 1007, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 28, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}