GEOGATE-geojson handles AIS/NMEA encoding/decoding for GEOgate GPS/AIS/GTS framework
Ais Decoder (TypeScript, Node 12.17.0)
Compact AIS decoder in TypeScript for browser and web apps
Decodes AIS messages from an AIS receiver such as rtl-ais.
Streaming text decoder that preserves multibyte Unicode characters
WebAssembly binary format parser
Web Assembly streaming MPEG Layer I/II/III decoder
GEOGATE-geojson handles AIS/NMEA encoding/decoding for GEOgate GPS/AIS/GTS framework
Web Assembly streaming Opus decoder
Node addon for string extraction for msgpackr
Web Assembly streaming Ogg Opus decoder
socket.io protocol parser
AIS/NMEA decoder with native Node.js stream interface (TypeScript/JavaScript)
Mesh optimization library that makes meshes smaller and faster to render
Web Assembly streaming Opus decoder with Machine Learning enhancements
Base64 streaming encoder and decoder
High performance WAV file decoder and encoder
bc-ur decoder
Default Jimp bmp encoder/decoder.
High-performance JSON serialization library
ZSTD (Zstandard) decoder for Web and Node.js, using WebAssembly
Node addon for string extraction for cbor-x
High-performance Base64 encoder and decoder
Default Jimp gif encoder/decoder.
A pure-ruby parser and decoder toolkit for NMEA messages (GPS, AIS, and other similar formats) that provides convenient access to all data fields. All standard NMEA messages, nearly all AIS messages, and some proprietary NMEA messages are supported.
AI4R is a lightweight, educational Ruby library featuring clean implementations of core machine learning and AI algorithms—such as decision trees, neural networks, k-means, genetic algorithms, and even a bit size Transformers architecture covering encoder, decoder, and seq2seq variations. Designed with simplicity and clarity in mind, this library is ideal for students, educators, and developers who want to understand these algorithms line by line. With no external dependencies, no GPU support, and no production overhead, AI4R serves as a practical and transparent way to explore the foundations of AI in Ruby. It is a long-maintained open-source effort to bring accessible, hands-on machine learning to the Ruby community.
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