Stable Diffusion web UI

An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.

Universal Second Eye for Gamers with Impairments (Universal AI Aim Aligner (AI Aimbot) - ONNX/YOLOv8 - C#)

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.

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.

Aim-bot based on AI for all FPS and TPS games

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.

EmbeddedLLM: API server for Embedded Device Deployment. Currently support CUDA/OpenVINO/IpexLLM/DirectML/CPU

Desktop2Stereo: 2D desktop to 3D for VR/AR (Support AMD/NVIDIA/Intel/Qualcomm GPUs and Apple Silicon Chips, powered by Depth AI Models)

a lightweight C++ cross-platform vision inference library,support YOLOv10 YOLOv11 PaddleOCR EasyOCR ,using ONNXRuntime/TVM with multiple exectuion providers.QQ群：364057904

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.

export any your YOLOv7 model to TensorFlow, TensorFlowJs, ONNX, OpenVINO, RKNN,...

DirectML Visual Graph Editor

RL Forex Bot with PPO AI-powered trading bot using PPO, dynamic position sizing, AMD GPU acceleration (DirectML/OpenCL), and MetaTrader 5 integration.

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.

A clean way to use DirectML for machine learning

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.