This repo contains the 3d models, data, and processing for the SenSys 2026 paper AMULET: Acoustic Metastructure for Direction-of-Arrival Estimaiton Underwater Using a Single Hydrophone

SPARROW — Solar-Powered Acoustic and Remote Recording Observation Watch. An AI-enabled edge device for biodiversity monitoring with camera-trap imaging and bioacoustic recording. By Microsoft AI fo…

Design, train and generate neural networks optimized specifically for FPGAs.

ML Model, Data Acquisition etc for Master Thesis

The smart sensor programs created as part of the TinyAIoT project seminar

Easy to use device for connecting "old" measuring units (water, power, gas, ...) to the digital world

Open Educational resource (OER) about how to create, use and disseminate ArcGIS Online dashboards

Code Fork of Birdiary project https://github.com/Birdiary (https://www.wiediversistmeingarten.org)

Installer for a smart IoT beehive scale based on Raspberry Pi 🐝

A realtime acoustic bird classification system for the Raspberry Pi 4B, 3B+, and 0W2 built on the TFLite version of BirdNET.

[WACV 2023] Information and scripts for the CropAndWeed Dataset

Implementation for the paper 'YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs'

Neural Networks for Microcontrollers

This repository contains the software to run the Birdiary script on ESP32.

Datasets for deep learning with satellite & aerial imagery

Repo containing content for thinkautonomous image segmentation course

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Neuroscope:An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

R client for opensensemap.org

Techniques for deep learning with satellite & aerial imagery

Shortest times between train stations in Europe

🎬 A curated list of movies every hacker & cyberpunk must watch.

AI for Earth Species Classification API

All Algorithms implemented in Python

Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"

Based on a true story

Image recognition project at the ifgi in Münster: Traffic monitoring with Raspberry PI