Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and TensorRT

Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

ASR/NLP/TTS deep learning inference library for NVIDIA Jetson using PyTorch and TensorRT

NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU

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.

Dockerfile for yolov5 inference on NVIDIA Jetson

Object detection with SSD MobileNet v2 COCO model optimized with TensorRT on NVIDIA Jetson Nano built upon Jetson Inference of dusty-nv (https://github.com/dusty-nv/jetson-inference).

Jetbot tools is a set of ROS2 nodes that utilize the Jetson inference DNN vision library for NVIDIA Jetson

The Jetson Emulator emulates the NVIDIA Jetson AI-Computer's Inference and Utilities API for image classification, object detection and image segmentation (i.e. imageNet, detectNet and segNet). The intended users are makers, learners, developers and students who are curious about AI computers and AI edge-computing but are not ready or able to invest in an actual device such as the NVIDIA Jetson Nano Developer Kit (https://developer.nvidia.com/embedded/jetson-nano-developer-kit). E.g. this allows every student in a computer class to have their own personal AI computer to explore and experiment with. This Jetson Emulator presents a pre-configured, ready-to-run kit with 2 virtual HDMI displays and 4 virtual live-cameras. This enables usage familiarisation with the Jetson API and experimentation with AI computer vision inference. It is a great way to quickly and easily get 'hands-on' with Jetson and experience the power of AI.

Object detection inference with Roboflow Train models on NVIDIA Jetson devices.

Training, optimization and deployment of Object Detection model with dinov2 backbone for efficient inference on NVIDIA Jetson

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

Build and install Paddle Inference GPU 3. from source on NVIDIA Jetson (JetPack 6.x, CUDA 12), with TensorRT support and known issue fixes.

Guide to deploying YOLOv10 on NVIDIA Triton Inference Server for Jetson devices with JetPack 5.1.3. Covers exporting YOLOv10 from PyTorch to ONNX, converting to TensorRT, and setting up Triton. Includes client setup for real-time inference. Start by cloning the repo and following the provided steps.

This project is a deep learning medical xray-image inference demo based on nvidia jetson tx2' s jetson-inference.

Qwen3.5-Thor — High-performance BF16/NVFP4 inference engine for Qwen3.5 model family on NVIDIA Jetson AGX Thor (SM110a Blackwell). C++17/CUDA, Ollama/OpenAI compatible API.

LAN/WAN automatic speech recognition community server running inferences on NVIDIA Xavier Jetson. Client-server communication through websockets.

dusty-nv package:Deep learning inference nodes for ROS with support for NVIDIA Jetson TX1/TX2/Xavier and TensorRT

Training a custom object detection (DetectNet_v2) model on our own dataset using Nvidia Transfer Learning Toolkit (TLT-kit) and AWS GPU instance and inferencing it on Jetson nano device using Deepstream.

Integrates NVIDIA GPUs for HPC and edge computing. Leveraging CUDA, Jetson, and Triton Inference Server, it offers real-time data processing with Kafka and Spark. Scalable microservices with Spring Boot, Docker, Kubernetes, robust security, and CI/CD with Jenkins make it ideal for advanced computational tasks. @NVIDIA

Robotic Inference using NVIDIA DIGITS and NVIDIA Jetson

This home-security suite is based on jetson-inference running on NVIDIA Jetson Nano Developer Kit

A simple program to demonstrate YOLOv5 video inference with Nvidia Jetson CSI camera as the input source.

A real-time plant classification pipeline on NVIDIA Jetson optimized for fast, accurate inference at the edge.

Welcome to our training guide for inference and deep vision runtime library for NVIDIA DIGITS and Jetson Xavier/TX1/TX2.

Monitoring & profiling toolkit for NVIDIA Jetson running Isaac-GR00T N1.5 TensorRT inference - Prometheus metrics, Grafana dashboards, per-engine latency profiling

Inference with a Nvidia Jetson TX2

TensorFlow Speech Recognition using LSTMs and ConvNets to realize high performance inference on NVIDIA Jetson (TX1)

Nvidia 提供了包括Jetson nano在内的开发套件的Deep learning 应用实例和各大主流模型。（https://github.com/dusty-nv/jetson-inference.git）