Showing 61-80 of 145 projects
A PyTorch-based implementation of the YOLO object detection model for the NVIDIA DeepStream SDK.
Compares the performance of multiple NVIDIA GPUs and Apple Silicon for running large language model inference.
A performance monitoring and benchmarking suite for developers working with hardware and low-level systems.
This is a Chinese translation of the CUDA programming guide, a library for GPU-accelerated computing.
An open-source library for efficiently connecting and optimizing teams of AI agents.
NVIDIA's cooperative primitives for CUDA C++ to simplify GPU programming.
Easy GPU switching for Nvidia Optimus laptops under Linux
A library for semantic segmentation tasks using deep learning models provided by NVIDIA.
Add AI-powered image upscaling to SteamVR games using AMD FidelityFX SuperResolution or NVIDIA Image Scaling.
DeepStream SDK Python bindings and sample applications for computer vision and video analytics
NVRHI is a C++ low-level rendering abstraction library for NVIDIA graphics APIs.
Lightweight and open-source NVIDIA GPU update checker that provides a better alternative to GeForce Experience.
A project demonstrating GPU-accelerated AI solutions for Lidar and camera data processing.
A curated collection of previous interview questions asked at major tech companies and startups.
A C++ library that accelerates YOLOv8 object detection using NVIDIA's TensorRT framework.
A toolkit for easier and faster deployment of YOLO (You Only Look Once) object detection models using NVIDIA TensorRT.
A cloud-based platform for deploying and streaming games/apps, with support for various gaming technologies.
Tweaks NVIDIA DLSS for improved performance and visual quality.
ILGPU is a high-performance .NET GPU compiler that enables developers to write and run GPU programs in C#.
This repository contains a collection of LLM (Large Language Model) interview questions asked at top tech companies.
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