#DirectML

Explore a universal AI aim alignment tool leveraging DirectML, ONNX, and YOLOV8 for superior gaming performance. It offers a seamless interface and versatile customization, tailored for gamers with various challenges. Free and source-available, Aimmy fosters an inclusive gaming environment without the need for coding expertise.

DirectML is a hardware-accelerated DirectX 12 library optimized for machine learning tasks on GPUs from AMD, Intel, NVIDIA, and Qualcomm. It integrates with Direct3D 12, minimizing latency and maximizing performance across platforms. Available on Windows 10 and Windows Subsystem for Linux, and as a standalone package, DirectML supports frameworks such as Windows ML and ONNX Runtime, facilitating model training and inference for PyTorch and TensorFlow applications.

Discover a machine learning inference API optimized for real-time use with ONNX Runtime and DirectML. Windows Machine Learning offers resources and samples to incorporate ML features into Windows applications, catering to frameworks and real-time gaming needs. Leverage Windows SDK or a NuGet package for inferencing, enhance models, and verify with tools such as WinMLRunner and WinML Dashboard. Explore extensive model samples, tutorials, and advanced use-cases for ML integration in UWP and desktop apps.

This project provides a complete C++ solution for Stable Diffusion image synthesis, eliminating the need for Python and enhancing deployment efficiency. It includes txt2img, img2img, inpainting functions, and ControlNet for guided generation. The library, optimized for DirectML, is aimed at real-time graphics and game developers, offering GPU-accelerated feature extraction. Prebuilt NuGet packages are available for seamless integration into Visual Studio C++ projects.