A TRMNL e-ink display plugin that tracks ships in real-time using the VesselFinder API. Features include live position mapping with OpenStreetMap integration, speed and course monitoring, and customizable refresh intervals. Optimized for the TRMNL display system with dithered black and white graphics.
This tool, developed in Python, interacts with various AI APIs, including ChatGPT, Copilot, Gemini, Llama, and Mistral language models. Users can submit requests and retrieve responses for the same input, with results organized in a CSV file for easy comparison. The tool computes similarities based on the expected outputs of different AIs.
Unofficial Implementation of Paper: Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks
ROS driver for the Automatic Identification System (AIS)
Python tool scraping and collecting terrestrial AIS streaming data (visualization, API usage tracking, ...)
AIS transmitter; mirror of https://gitea.osmocom.org/sdr/ais-tx
A python library to filter AIS vessel data and do investigation.
Correlating ship data from echo SAR with AIS and VMS data
An analysis of the behavior of fishing vessels in order to detect patterns and outliers/anomalies.
Python code to train neural network models with your original dataset for semantic segmentation. This codeset also includes a converter to create macOS Core ML models from trained Keras models for A.I.Segmentation.
Simple script to convert AIS NMEA to ADSB basestation format. Main purpose is to plot SAR helicopters in ADSB plotting software like VRS.
RS-109M AIS net locator buoy configurator
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