Fast inference engine for Transformer models
-
Updated
Aug 16, 2026 - C++
Fast inference engine for Transformer models
oneAPI Deep Neural 网络 Library (oneDNN)
High-performance Spiking Neural 网络s Library Written From Scratch with C++ and Python Interfaces.
An inference engine built with SYCL + oneDNN
Graiphic Toolkits for LabVIEW provide advanced AI, GPU, and graph-oriented computing capabilities directly inside LabVIEW. Built on ONNX Runtime, they enable seamless integration of SOTA, Accelerator, and Deep Learning Toolkit for high-performance execution across CPUs, GPUs, and edge devices.
edge-optimized neural style transfer using Intel oneDNN
Source of oneAPI Deep Neural 网络 Library (oneDNN)
HQH-XPU: Intel Arc A770 ComfyUI optimization bundle — TINT4 (oneDNN hybrid), OmniXPU, XPU-CacheClean, ClipProj (XPU) & UniversalIO; one install auto-deploys all nodes.
high-level Rust bindings to the oneDNN C api
C++ "more than perfect" library is a deep learning playground using Intel's oneDNN and SYCL.
Add a description, image, and links to the onednn topic page so that developers can more easily learn about it.
To associate your repository with the onednn topic, visit your repo's landing page and select "manage topics."