An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
This repository contains a pure C++ ONNX implementation of multiple offline AI models, such as StableDiffusion (1.5 and XL), ControlNet, Midas, HED and OpenPose.
#计算机科学#Efficient CPU/GPU ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet, ArtCNN and more!)
A simple Windows / Xbox app for generating AI images with Stable Diffusion.
GUI for upscaling ONNX models with NVIDIA TensorRT and Vapoursynth
GPU-accelerated javascript runtime for StableDiffusion. Uses modified ONNX runtime to support CUDA and DirectML.
#大语言模型#EmbeddedLLM: API server for Embedded Device Deployment. Currently support CUDA/OpenVINO/IpexLLM/DirectML/CPU
Little console app to run an ONNX model through ONNX Runtime via the DirectML execution provider.
This tutorial covers creating an object detection plugin for a Unity game engine project using ONNX Runtime and DirectML.
#计算机科学#export any your YOLOv7 model to TensorFlow, TensorFlowJs, ONNX, OpenVINO, RKNN,...
a lightweight C++ cross-platform vision inference library,support YOLOv10 YOLOv11 PaddleOCR EasyOCR ,using ONNXRuntime/TVM with multiple exectuion providers.
NN tool for Windows for neural network training using DirectML and raw C++
#计算机科学#An Image Classification Project model built using PyTorch and DirectML backend. Secondary purpose is to draw attention to AMD+DirectML and perform benchmarks on AMD GPUs.