amd/AIG-Datasets

AMD AIG GPU Kernel Datasets AMD AIG-Datasets is a collection of GPU-kernel generation, translation, optimization, and ROCm-library supervision data. It contains PyTorch/CUDA-to-HIP, HIP-to-HIP, PyTorch-to-Triton, and production-grounded rocBLAS/rocSOLVER entries, together with metadata, samples, conversion utilities, and reproducible evaluation tools. The repository is organized into versioned releases. New training and evaluation workflows should use the unified-schema datasets… See the full description on the dataset page: https://huggingface.co/datasets/amd/AIG-Datasets.

<iframe src="https://silytics.si/embed/item/0716c05c-754f-45d1-8795-504e88df53b0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.