Antares: an automatic engine for multi-platform kernel generation and optimization. Supporting CPU, CUDA, ROCm, DirectX12, GraphCore, SYCL for CPU/GPU, OpenCL for AMD/NVIDIA, Android CPU/GPU backends.
Обновлено 2024-11-20 16:03:41 +03:00
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Обновлено 2024-11-20 04:04:47 +03:00
Обновлено 2024-11-20 03:23:05 +03:00
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
Обновлено 2024-11-19 03:35:36 +03:00
Metadata for Azure HPC Extensions
Обновлено 2024-11-19 02:38:24 +03:00
The high-speed OpenGL, OpenCL, OpenAL, OpenXR, GLFW, SDL, Vulkan, Assimp, WebGPU, and DirectX bindings library your mother warned you about.
Обновлено 2024-11-18 18:39:11 +03:00
Win2D is an easy-to-use Windows Runtime API for immediate mode 2D graphics rendering with GPU acceleration. It is available to C#, C++ and VB developers writing apps for the Windows Universal Platform (UWP). It utilizes the power of Direct2D, and integrates seamlessly with XAML and CoreWindow.
Обновлено 2024-10-11 19:04:27 +03:00
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Обновлено 2024-09-04 00:17:43 +03:00
This example shows how to convert VideoPlayer texture to OpenCV Mat using AsyncGPUReadback.
Обновлено 2024-04-24 14:18:00 +03:00
Radeon Rays is ray intersection acceleration library for hardware and software multiplatforms using CPU and GPU
Обновлено 2024-02-12 15:19:19 +03:00
A Dataset of Python Challenges for AI Research
Обновлено 2023-12-21 00:10:56 +03:00
A GPU / device extension framework for Kubernetes
Обновлено 2023-06-27 16:03:52 +03:00
Demostrates using the NVidia GPU Cloud Marketplace images in CycleCloud clusters.
Обновлено 2023-05-31 21:47:40 +03:00
Contains intermediate and compiled WebGPU Shading Language shaders from various Unity projects, to be used for shader compiler testing and profiling by WebGPU implementers.
Обновлено 2023-04-20 06:34:12 +03:00
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Обновлено 2022-11-28 22:09:42 +03:00
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
Обновлено 2022-07-26 04:18:01 +03:00
A profiler to disclose and quantify hardware features on GPUs.
Обновлено 2022-05-15 15:14:59 +03:00
Scripts that run on Azure VM's and gather variety of diagnostic information to debug common issues with VM, GPU and Infiniband.
Обновлено 2022-03-29 00:17:54 +03:00
Svirl is GPU-accelerated solver of complex Ginzburg-Landau equations for superconductivity. It consists of time-dependent solver to describe vortex dynamics and free energy minimizer to accurately find static configurations.
Обновлено 2021-07-23 21:41:12 +03:00
AKS Deployment Tutorial
Обновлено 2020-02-12 05:11:52 +03:00
Optimized primitives for collective multi-GPU communication
Обновлено 2020-01-07 02:49:13 +03:00
Distributed Deep Learning using AzureML
Обновлено 2019-11-19 05:28:26 +03:00
Show how to perform fast retraining with LightGBM in different business cases
Обновлено 2019-07-18 11:16:44 +03:00
Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster
Обновлено 2019-02-01 22:04:55 +03:00
Lumia Imaging SDK is a comprehensive set of GPU/CPU imaging tools and effects that run on both mobile and desktop, with high speed and memory efficiency. Samples and extras code are included.
Обновлено 2015-09-30 09:32:45 +03:00