a Java TOOLKIT for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications.
3rd Generation Partnership Project
Specification of the SIM Application TOOLKIT for the
Subscriber Identity Module - Mobile Equipment
(SIM - ME) interface
(Release 4)
Octane v1.01.20
The Open Compression TOOLKIT for C++ .
The Open Compression TOOLKIT is a set of modular C++ classes and utilities for implementing and testing compression algorithms.
Simple interface and skeleton code for creating new compression algorithms.
Complete testing framework for validating and comparing new algorithms.
Support for algorithms that use external dictionaries/headers.
Utility classes and sample code for bitio, frequency counting, etc.
Lossless Data Compression TOOLKIT Version 1.1 of the lossless data compression TOOLKIT by Nico deVries. The C sources in this TOOLKIT include an LZW compressor, AR002 archiver, a PPM like compressor using arithmetic compression, Huffman compressor, splay tree program, and LZRW1. Quite a variety.