Task Automation: Nvidia Driver Updator || Download Exe => Run => Enjoy! ✌ ||
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Updated
May 30, 2023 - Python
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).
Task Automation: Nvidia Driver Updator || Download Exe => Run => Enjoy! ✌ ||
This system tracks artifacts in museum and triggers alarm if artifact goes missing from the frame.
This ROS2 project provides a framework to compare the performance of SLAM algorithms (Cartographer & RTAB-Map) for a Turtlebot3 Burger robot in a simulated Gazebo environment. It offers both host and Dockerized setups for user convenience.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation..
A pre-configured instant-ngp workspace that includes helpful scripts for getting started with NeRF training.
Linux Nvidia GPU monitoring for Zenoss
PyMiniWeather solves the compressible form of inviscid two-dimensional unsteady Euler equations using a finite volume discretization scheme and can run on multiple CPUs or GPUs without any code changes to the serial code using cuNumeric
Jetson Nano Home Automator with Homebridge
Show your GPU stats in discord
A GPU monitoring tool
Yolov4 ONNX Object Detector
Convert ONNX models to TensorRT engines and run inference in containerized environments
Web3 browser wallets recovery tool (competition)
This project provides a comprehensive Python script to convert a PyTorch model to an ONNX model and then to a TensorRT engine for NVIDIA GPUs, followed by performing inference using the TensorRT engine. This script is designed to handle the entire conversion process seamlessly.
Ansible role collection
Export PyTorch to ONNX and run inference in containerized environments.
The "NutBoltClassifier" system represents a significant leap forward in automated fastener classification, harnessing deep learning and computer vision techniques.
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993