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3dearthrenderopengl

Rendering 3D Earth Model with OpenGL

adafruit-hallowing-m0-pcb

PCB files for Adafruit Hallowing M0 PCB

clustering

Using a quantum computer to cluster data points

csi-camera

Simple example of using a CSI-Camera (like the Raspberry Pi Version 2 camera) with the NVIDIA Jetson Developer Kit

dedode

DeDoDe 🎶 Detect, Don't Describe - Describe, Don't Detect, for Local Feature Matching

deepstream-yolo-seg

NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO-Segmentation models

deeptrack2

DeepTrack2

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dwave-system

An API for easily incorporating the D-Wave system as a sampler, either directly or through Leap's cloud-based hybrid samplers

earth3dopengl

embedded_vision_platform

This is intended to be a common platform for edge devices for vision applications.

face-detection

feature-selection-notebook

Feature selection for machine learning using mutual information.

hybrid-computing-notebook

Create and use hybrid workflows to solve problems.

jetsongpio

A C++ library that enables the use of Jetson's GPIOs

libadsb

C++ ADSB Library built on top of dump1090

libseek-thermal

SEEK thermal compact camera driver supporting the thermal Compact, thermal CompactXR and and thermal CompactPRO

mutual-information-feature-selection

Use mutual information to select features in a Titanic data set

nmeaparser

NMEA Parser writen in C++

norfair

Lightweight Python library for adding real-time multi-object tracking to any detector.

pisugar

PiSugar is a battery module for Raspberry Pi zero / zero W / zero WH

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

simple-ocean-programs

Examples of introductory Ocean programs and concepts.

tensor

A fast tensor library for c++.

tensorrt-llm

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

timage

General image template container.