Showing 1-20 of 21 projects
A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.
An easy-to-use PyTorch to TensorRT converter for optimizing AI model inference on NVIDIA Jetson devices.
Open source platform to build a small-scale self-driving car using computer vision and AI.
An educational AI robot based on NVIDIA Jetson Nano, useful for learning about robotics and AI.
PyTorch compiler for NVIDIA GPUs using TensorRT, enabling efficient deep learning inference on CUDA hardware.
A Python package for monitoring and controlling NVIDIA Jetson devices, including the Jetson Orin, Xavier, Nano, and TX series.
Turn any computer or edge device into a command center for your computer vision projects.
A highly efficient module for temporal modeling in video understanding tasks.
YOLOP is a Python-based autonomous-driving perception project for panopitic driving perception.
A collection of TensorRT demos for object detection, image classification, and other computer vision tasks.
A C++ library that accelerates YOLOv8 object detection using NVIDIA's TensorRT framework.
An open-source tool to quantify the world using computer vision and YOLO object detection on edge devices.
Samples for TensorRT/Deepstream for Tesla & Jetson, focused on AI-powered IoT applications.
Visual SLAM/odometry package for NVIDIA-accelerated cuVSLAM
High-performance multiple object tracking for computer vision and edge computing applications.
A C++ library that provides optimized YOLO object detection models for deployment on NVIDIA Jetson platforms.
An autonomous AI racecar using NVIDIA Jetson Nano for robotics and IoT development.
Real-time human pose estimation accelerated with NVIDIA TensorRT for efficient deployment on Jetson devices.
A Python library that enables the use of Jetson's GPIOs for embedded systems development.
Perception and AI components for autonomous mobile robotics.
Get weekly updates on trending AI coding tools and projects.