📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

Qt Cross Compilation for Raspberry Pi and Jetson Nano/Nx/Orin

C library to manage the GPIO header of the Nvidia Jetson boards

An application suite including an open-source inference server and web UI to deploy any YOLOv8 model to NVIDIA Jetson devices and visualize captured streams, with one line of code.

Paddle installation wheels for Jetson Nano

Husky Simulation and Hardware In the Loop simulation on Isaac SIM with Isaac ROS

ROS2 package leveraging Mid360 and FASTLIO for f1tenth car navigation.

A lightweight C++ implementation of YoloV8 running on NVIDIAs TensorRT engine

This repo contains model compression(using TensorRT) and documentation of running various deep learning models on NVIDIA Jetson Orin, Nano (aarch64 architectures)

MLModelService wrapping Nvidia's Triton Server

Personal docker setup with all the tools and packages I use

Autonomous drone system utilizing image analysis and dynamic movement adjustments for smoke plume tracking and particle sampling : GAIA-drone-control Project

Simple kernel module to control the Jetson Orin clocks

This repo will configure your linux, and auto-config `catkin workspace` for you across multiple hardware for synchronization and easy version controls. In addition, it provides networking and scripts to make life easier. [Reduce redundant works in setting up new PC] [Jetson Orin, Adlink, Steamdeck, PC, VM, more]

The "Find my iPhone" for all your belongings 🔍

This repository demonstrates the use of the Vosk ASR model on the Nvidia Jetson Orin NX platform for real-time speech recognition. It includes setup instructions, installation steps, and test scripts for running ASR models, showcasing practical AI applications on edge devices.

This project uses nvidia deepstream to make an real time video face recognition app

INSTALLATION AND DEPLOYMENT GUIDELINE YOLOV7's PRE-PRETRAINED MODEL ON JETSON PLATFORM

This POC features a YOLO v8 model trained for object detection using the KITTI dataset. It aims to enhance detection accuracy and performance in autonomous vehicle applications. The model is designed to handle diverse urban scenarios and improve the reliability of object recognition in challenging environments.