{"adoption": {"forks": 682, "observed_at": "2026-08-28T04:08:30.841349+00:00", "stars": 3972}, "canonical_url": "https://ross.abutalabs.com/products/cuda-course", "card": {"archived": false, "artifact_type": "learning-resource", "description": null, "domain": ["gpu-computing", "deep-learning", "tutorials", "education"], "enriched": true, "function": ["gpu-computing", "machine-learning", "developer-tools"], "health_score": 63, "homepage": null, "language": "Cuda", "license": null, "license_family": "other", "maturity": "active", "member_repos": ["Infatoshi/cuda-course"], "name": "Infatoshi/cuda-course", "platform": ["python", "cpp"], "pushed_at": "2026-03-11T05:55:03+00:00", "repo": "Infatoshi/cuda-course", "stars": 3972, "tags": ["cuda", "triton", "pytorch", "kernel-optimization", "free-code-camp", "nvidia", "linux", "gpu"], "topics": [], "urls": [], "use_cases": ["learn CUDA programming from scratch", "write and optimize GPU kernels for deep learning", "understand how llm.c-style projects work", "speed up matrix multiplication with CUDA", "write custom PyTorch CUDA extensions", "get started with Triton kernel development"], "what_it_is": "A free open-source CUDA programming course published with FreeCodeCamp, teaching GPU kernel development from C/C++ basics through optimized matrix multiplication, Triton, and PyTorch CUDA extensions. It culminates in building an MLP for MNIST in raw CUDA and targets NVIDIA GPUs on Ubuntu Linux.", "when_to_avoid": ["you need AMD, Intel, or Apple GPU programming (course is NVIDIA/CUDA-specific)", "you want a production library rather than educational material", "you cannot access Linux, WSL, or Docker environments"], "when_to_choose": ["you have an NVIDIA GPU and want a structured, hands-on path into GPU programming", "you know Python and want to learn kernel optimization for ML workloads", "you want free course material with a concrete final project"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/cuda-course", "repo": "Infatoshi/cuda-course", "role": "main", "score": 55}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:24:21.100154+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "96fd62473708cc19650e2863ab6de78db91dd7ad19f7400d4147315af1e9d278", "fetched_at": "2026-08-28T04:08:30.841349+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Infatoshi/cuda-course"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:24:21.100154+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "96fd62473708cc19650e2863ab6de78db91dd7ad19f7400d4147315af1e9d278", "fetched_at": "2026-08-28T04:08:30.841349+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Infatoshi/cuda-course"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:24:21.100154+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "96fd62473708cc19650e2863ab6de78db91dd7ad19f7400d4147315af1e9d278", "fetched_at": "2026-08-28T04:08:30.841349+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Infatoshi/cuda-course"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:24:21.100154+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "96fd62473708cc19650e2863ab6de78db91dd7ad19f7400d4147315af1e9d278", "fetched_at": "2026-08-28T04:08:30.841349+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Infatoshi/cuda-course"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:24:21.100154+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "96fd62473708cc19650e2863ab6de78db91dd7ad19f7400d4147315af1e9d278", "fetched_at": "2026-08-28T04:08:30.841349+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Infatoshi/cuda-course"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:24:21.100154+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "96fd62473708cc19650e2863ab6de78db91dd7ad19f7400d4147315af1e9d278", "fetched_at": "2026-08-28T04:08:30.841349+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Infatoshi/cuda-course"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:08:30.841349+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:24:21.100154+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "96fd62473708cc19650e2863ab6de78db91dd7ad19f7400d4147315af1e9d278", "fetched_at": "2026-08-28T04:08:30.841349+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Infatoshi/cuda-course"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:24:21.100154+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "96fd62473708cc19650e2863ab6de78db91dd7ad19f7400d4147315af1e9d278", "fetched_at": "2026-08-28T04:08:30.841349+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Infatoshi/cuda-course"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:24:21.100154+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "96fd62473708cc19650e2863ab6de78db91dd7ad19f7400d4147315af1e9d278", "fetched_at": "2026-08-28T04:08:30.841349+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Infatoshi/cuda-course"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:24:21.100154+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "96fd62473708cc19650e2863ab6de78db91dd7ad19f7400d4147315af1e9d278", "fetched_at": "2026-08-28T04:08:30.841349+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Infatoshi/cuda-course"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 71, "longevity": 56, "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": 786, "days_push": 175, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 55, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}