Fast C++ library for linear algebra (matrix maths) and scientific computing. Easy to use functions and syntax, deliberately similar to Matlab. Uses template meta-programming techniques. Also provides efficient wrappers for LAPACK, BLAS, ATLAS, ARPACK and SuperLU libraries, including high-performance versions such as OpenBLAS and Intel MKL. Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. For more details, see http...
Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
Machine learning algorithms for advanced analytics
OpenNN is a software library written in C++ for advanced analytics. It implements neural networks, the most successful machine learning method. Some typical applications of OpenNN are business intelligence (customer segmentation, churn prevention…), health care (early diagnosis, microarray analysis…) and engineering (performance optimization, predictive maitenance…). OpenNN does not deal with computer vision or natural language processing. The main advantage of OpenNN is its high...
C++ Fuzzy Logic Programming Library - For problem solving in the fuzzy logic domain. It has an object oriented API well suited to C++ syntax for direct inclusion in source code. Portable to platforms that support the C++ STL.
experimental C++ library for GPU based linear algebra
C++ library for controlling Raspberry Pi Camera (with/without OpenCV)
This library allows to use the Raspberry Pi Camera. Main features: - Provides class RaspiCam for easy and full control of the camera - Provides class RaspiCam_Cv for easy control of the camera with OpenCV. - Easy compilation/installation using cmake. - No need to install development file of userland. Implementation is hidden. - Many examples
OpenPR stands for Open Pattern Recognition project and is intended to be an open source library for algorithms of image processing, computer vision, natural language processing, pattern recognition, machine learning and the related fields.
This project consists of various implementations of the Graphplan algorithm. At the moment we have two implementations of Graphplan: * Emplan - A C++ implementation for Linux, Windows and MacOS X * JavaGP - A Java implementation
Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map) which is one of AI algorithms and useful tool for data mining and discovery knowledge in data (http://knnl.sf.net).
An open source optical flow algorithm framework for scientists and engineers alike.
NOMAD is a C++ code that implements the MADS algorithm (Mesh Adaptive Direct Search) for difficult blackbox optimization problems. Such problems occur when the functions to optimize are costly computer simulations with no derivatives.
clipsmm is a C++ interface to the CLIPS libray, a C library for developing expert systems.
GPU Machine Learning Library. This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.
Scientific Visualisation Made Easy
The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical...
C++ library for working with OWL ontologies
C++ header only library with AI and bioinformatics algorithms
C++ header only library, small and fast; Naive Bayesian Classifier, Decision Tree Classifier (ID3), DNA/RNA nucleotide second structure predictor, timeseries management, timeseries prediction, generic Evolutionary Algorithm, generic Hill Climbing algorithm and others.
The Numerical Learning Library intends to provide a wide range of machine learning algorithms. It is a generic and efficient C++ library with its full integrated framework (preprocessing, feature extraction and transformation, validation).
Declarative knowledge representation and reasoning
This is the old release page of the IDP system, please visit http://dtai.cs.kuleuven.be/software/idp/try for the most recent release.
Fast C++ KNN classifier
KNN Classifier library for C++, at background using armadillo. In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor.
C++ Statistical ToolKit
STK++ (http://www.stkpp.org) is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions (http://cran.at.r-project.org/web/packages/rtkore/index.html). At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template classes...
Fast and robust map analyser for Brood War.
Brood War Easy Map is a C++ library that analyses Brood War's maps and provides relevant information such as areas, choke points and base locations. It is built on top of the BWAPI library. It first aims at simplifying the development of bots for Brood War, but can be used for any task requiring high level map information. It can be used as a replacement for the BWTA2 add-on, as it performs faster and shows better robustness while providing similar information.
MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. For more information, see http://mlpack.org
two experimental AI languages + zubr
Two experimental AI languages - Perkun and its successor Wlodkowic. Attempt to maximize the expected value of the payoff function by appropriate choosing the actions (output variables values). The package contains also a tool called zubr - a Java code generator based on Perkun. Take also a look at my blog: http://pawel-biernacki.blogspot.fi/ For Windows users there is an installer: http://www.pawelbiernacki.net/perkun.msi
This is an implementation of a machine learning library in C++11
Nunn implements an artificial intelligent framework written in modern C++11, which supports artificial networks able to learn by example and other machine learning algorithms. The project includes demo applications, which are an excellent prototype problem for neural networks learning: - mnist_test application lets you evaluate multiple net configurations on MNIST - ocr_test provides a GUI to write digits that can recognize by using MNIST trained nets - TicTacToe game - Xor-function...
The Cogitant library is a set of C++ classes enabling to easily build applications based on the Conceptual Graph model.