CUDA C++ Core Libraries
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Updated
May 26, 2024 - C++
NVIDIA Corporation is a company that manufactures graphics processors, mobile technologies, and desktop computers. It is known for developing integrated circuits, which are used in everything from electronic game consoles to personal computers (PCs). The company is a leading manufacturer of high-end graphics processing units (GPUs).
CUDA C++ Core Libraries
Alternative NVAPI implementation on top of DXVK.
GameStream client for PCs (Windows, Mac, Linux, and Steam Link)
cuML - RAPIDS Machine Learning Library
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.
C++ wrapper for the Nvidia C libraries (e.g. CUDA driver, nvrtc, cuFFT etc.)
✨👁️ Computer vision libraries, tailor built for NVIDIA jetson platforms! With docker images!
CUDA Templates for Linear Algebra Subroutines
NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
Achieve peak performance on x86 CPUs and NVIDIA GPUs
A shared library of on-demand DeepStream Pipeline Services for Python and C/C++
A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology
A c++ implementation of yolov5 and deepsort
This is the NVIDIA RTX Remix Runtime Bridge repository
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993