Search Results for "artificial intelligence"

One more lightweight neural network in C.

Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is...

TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP...

Proof Logic is a functional and equational logical framework for theorem proving based on Combinatory Logic and Lambda Calculus, whose expressions are both terms and proofs proving the equality between two terms.

CLISP is a portable ANSI Common Lisp implementation and development environment by Bruno Haible. Interpreter, compiler, debugger, CLOS, MOP, FFI, Unicode, sockets, CLX. UI in English, German, French, Spanish, Dutch, Russian, and Danish.

newLISP for BSDs, LINUX, MacOS X, SunOS and Win32: small, fast 350+ functions, a -C-, MySQL, PostgreSQL, SQLite, ODBC, TCP/IP, UDP, XML, Java interface, string processing, regular expressions , math, financial, statistical functions, Win32 DLL

A multi-platform collection of C++ software libraries for Computer Vision and Image Understanding.

The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.

A base for programs. Includes algorythms for Q-learning and SOM's etc. too. Examples: Hamron: Simulates evolution, uses the 2D-renderer. DriveUnit: created for school, for a robotic arm, uses the 3D-renderer. Hlearn: http://www.sagenb.org/home/pub/8

A High-Order Multi-Variate Approximation Scheme for Arbitrary Data Sets, C implementation of the method described in http://web.mit.edu/qiqi/www/paper/interpolation.pdf, with Python and Fortran interfaces.

mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3. mlpy is available both for Python >=2.6 and Python 3.X.

An omnifont OCR engine. The long-term goal is recognition of formulas.

This project has been moved to bitbucket.org: - https://bitbucket.org/vahidi/jbdd/wiki/Home - https://bitbucket.org/vahidi/jdd/wiki/Home It includes two libraries for working with decision diagrams: - JBDD: a Java interface to two popular BDD libraries, CUDD and BuDDy - JDD: a native Java library supporting BDD, Z-BDD

DLog is an Description Logic ABox reasoner that uses resolution. The basic idea is that a DL knowledge base is transformed into a Prolog program without any knowledge on the content of the ABox. The answers are obtained during normal Prolog execution.

MASyV (Multi-Agent System Visualization) enables one to write agent-based models/cellular automata, eg. in C, visualize them in real time & capture to movie file with MASyVs GUI & message passing lib. Includes examples: Hello World, ants, viral infection

PyCV is a Python package of modules useful for computer vision tasks. Its current focus is on boosting techniques, Haar-like features, and face detection. PyCV provides the world's fastest method for training a face detector, in a few hours.

Foma is a compiler, programming language, and C library for constructing finite-state automata and transducers for various uses. It has specific support for many natural language processing applications such as producing morphological analyzers.

ANT is a lightweight implementation in C of a kind of artificial neural net called Multilayer Perceptron, which uses the backpropagation algorithm as learning method. The package includes an introductory example to start using artificial neural nets.

GRAMophone is an algorithmic generator of music composition. The music is generated using two kinds of formal grammar: Chomsky’s grammar for TOP DOWN approach to the composition and a reduced version of Lindenmayer grammar for BOTTOM UP approach.

GMM-GMR is a light package of functions in C/C++ to compute Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR). It allows to encode any dataset in a GMM, and GMR can then be used to retrieve partial data by specifying the desired inputs.

Tools/libraries: analytical and numerical mathematical methods in ODE, PDE, Vector Calculus, Linear Algebra, Probability and Statistics, Numerical Methods, FEM, DSP. The current file release libham1.0 is for Geometric Integration of Hamiltonian Systems w

Lightweight backpropagation neural network in C. Intended for programs that need a simple neural network and do not want needlessly complex neural network libraries. Includes example application that trains a network to recognize handwritten digits.

neuralnetgen is intended to be a universal neural net generator that receives a neural net description (on Neural Net Description Language, also developed on this project) and generates ANSI C code of a library that implements it.

CompLearn is a general-purpose compression-based machine learning system that uses data compression to learn or data mine patterns in arbitrary data.

RealPaver is a modeling language for solving mixed-integer nonlinear constraint systems.