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.

Python tool scraping and collecting terrestrial AIS streaming data (visualization, API usage tracking, ...)

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.

ROS driver for the Automatic Identification System (AIS)

Read AIS data from UDP broadcast and write to MongoDB (quick and dirty)

Query the City of Philadelphia's Address Information System

Correlating ship data from echo SAR with AIS and VMS data

RS-109M AIS net locator buoy configurator

Log4shell waveforms for ACARS, ADS-B, and AIS

An analysis of the behavior of fishing vessels in order to detect patterns and outliers/anomalies.

The simple AIS messages generator. The AIS data is sent as UDP packets to clients in NMEA 0183 format and optionally can be displayed on CLI terminal.

A python library to filter AIS vessel data and do investigation.

AIS transmitter; mirror of https://gitea.osmocom.org/sdr/ais-tx

Twitter snapshot bot for a Raspberry Pi RTL-SDR AIS ship tracking station.

pyAirwaves is an ADS-B and AIS processing, storage (planned), and display application with Leaflets integration.

Simple script to convert AIS NMEA to ADSB basestation format. Main purpose is to plot SAR helicopters in ADSB plotting software like VRS.

Ship positions using AIS data in Norway

Create and transmit AIS frames via gnuradio toolchain and web application in browser. Provides a websocket to PDU message block to change frame content on runtime. Works in burst mode, a frame is send on change immediately, one time. Transmitter remains silent until next change event.

Detecting automatic identification system (AIS) on-off switching anomalies, unusual turn detection, and deviation of trajectories of vessels.