Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.
The Orbital library is a Java class library providing object-oriented representations and algorithms for logic, mathematics, and computer science. It comprises theorem proving, computer algebra, search and planning, as well as machine learning algorithms. Generally speaking, the conceptual idea behind the Orbital library is to provide extensional services and components that surround the heart of many scientific applications, hence the name "Orbital library". In order to satisfy the requirements of high reusability, the design of this foundation class library favors flexibility, conceptual simplicity, and generalization. Many sophisticated problems can be solved easily with its adaptable components.
OMCSNetCPP is a C++ API and inference toolkit for accessing OMCSNet, a semantic network mined out of the Open Mind Common Sense knowledge base. The goal of this project is to provide a class library that allows programmers to easily add common sense reasoning capabilities to C++ applications.
Ellogon is a multi-lingual, cross-platform, general-purpose language engineering environment, developed in order to aid both researchers who are doing research in computational linguistics, as well as companies who produce and deliver language engineering systems. As a language engineering platform, it offers an extensive set of facilities, including tools for processing and visualising textual/HTML/XML data and associated linguistic information, support for lexical resources (like creating and embedding lexicons), tools for creating annotated corpora, accessing databases, comparing annotated data, or transforming linguistic information into vectors for use with various machine learning algorithms.
dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
Lightweight Neural Network is a lightweight implementation in C of a backpropagation neural network. It is intended for use in programs that just happen to need a simple neural network and do not want to incorporate a needlessly complex neural network library. It features multilayer backpropagation neural network with settable momentum and learning rate, easy portability, and small size. Included is an example application that trains a neural network to recognize handwritten digits.