Showing 204 open source projects for "artificial intelligence algorithm"

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  • 1
    C-IL2P

    C-IL2P

    Original C-IL2P

    This is a C++ implementation of the original C-IL2P system, invented by Artur D'Avila Garcez and Gerson Zaverucha. C-IL2P is a neural-symbolic learning system which uses a propositional logic program to create a three-layer recursive neural network and uses back-propagation to learn from examples.
    Downloads: 0 This Week
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  • 2

    StabLe

    An algorithm for learning stable graphical models from data

    Stable Graphical Model Learning (StabLe) is an algorithm for learning the structure and parameters of stable graphical (SG) models from data. Stable random variables are motivated by the central limit theorem for densities with (potentially) unbounded variance and can be thought of as natural generalizations of the Gaussian distribution to skewed and heavy-tailed phenomenon. SG models are multi-variate stable distributions that represent Bayesian networks whose edges encode linear...
    Downloads: 0 This Week
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  • 3

    ImageSorterBOW

    Program for classification and sort images by contest.

    Program for classification and sort images by contest. It is based on implementation OpenCV Bag of visual world method.
    Downloads: 0 This Week
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  • 4

    Graphlet kernel framework

    Calculates similarity between neighborhoods of two vertices in a graph

    This software package provides a framework for calculating similarity between neighborhoods rooted at two vertices of interest in a labeled graph (undirected or directed). The list of available similarity functions includes: cumulative random walk, standard random walk, standard graphlet kernel, edit distance graphlet kernel, label substitution graphlet kernel and edge indel graphlet kernel. The graphlet kernel framework can be used for vertex (node) classification in graphs, kernel-based...
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  • 5
    SkyAI
    Highly modularized Reinforcement Learning library for real/simulation robots to learn behaviors. Our ultimate goal is to develop an artificial intelligence (AI) program with which the robots can learn to behave as their users wish.
    Downloads: 1 This Week
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  • 6

    drvq

    dimensionality-recursive vector quantization

    drvq is a C++ library implementation of dimensionality-recursive vector quantization, a fast vector quantization method in high-dimensional Euclidean spaces under arbitrary data distributions. It is an approximation of k-means that is practically constant in data size and applies to arbitrarily high dimensions but can only scale to a few thousands of centroids. As a by-product of training, a tree structure performs either exact or approximate quantization on trained centroids, the latter...
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  • 7
    Featurama is a library that implements various sequence-labeling algorithms. Currently Michael Collins' averaged perceptron algorithm is fully implemented.
    Downloads: 0 This Week
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  • 8
    ALN machine learning
    Customizable software to smoothly fit non-linear, high-dimensional data. SDK in C with C++ wrappers, plus demo applications (all under LGPL). Versions under Windows and Linux already operational. Further progress depends on your imagination!
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  • 9
    Azul OS

    Azul OS

    Azul OS version dev(Linux) IA

    Azul OS version dev , est une version de Azul pour les developpeurs basé sur Linux , doté d'une IA un programme nommé Azul voice et qui est un système de reconnaissance vocale qui comprend ce que vous dites et réponds par des sensations . Azul Dev est une distribution linux , qui comporte des outils et des lib pour les developpeurs avec une Interface Gnome # Azul voice système sensation . Windows & linux. En cours .. # Azul voice version windows Azul interface . Disponible # Azul dev...
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  • 10
    Read multi-plates in one image without number limitation. 50-55 millisconds for processing one frame of image. Simplest API The smallest, simplest, fastest Modern ANPR SDK CANPRIC is a modern ANPR/LPR engine, which based on machine learning and high performance computing(HPC). The ambition of CANPRIC is leading the ANPR industry into intelligent times and using the HPC technique to get high speed of processing.
    Downloads: 1 This Week
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  • 11
    OpenANN

    OpenANN

    An open source library for artificial neural networks.

    OpenANN is a C++ library that provides implementations for modular artificial neural networks with only a few dependencies and additional Python bindings.
    Downloads: 0 This Week
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  • 12
    cCNN

    cCNN

    A fast implementation of LeCun's convolutional neural network

    Code of this library is partialy based on myCNN MATLAB class written by Nikolay Chemurin.
    Downloads: 0 This Week
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  • 13
    ECOC PAK is a C++ Library for the Error Correcting Output Codes classification framework. It supports several coding and decoding strategies as well as several classifiers.
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  • 14
    GSGP
    GS-GP is a free/open source C++ library that provides a robust and efficient implementation of geometric semantic genetic operators for Genetic Programming.
    Downloads: 0 This Week
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  • 15
    SMILE = Speech & Music Interpretation by Large Space Extraction openSMILE is a fast, real-time (audio) feature extraction utility for automatic speech, music and paralinguistic recognition research developed originally at TUM in the scope of the EU-project SEMAINE, now maintained and supported by audEERING.
    Downloads: 4 This Week
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  • 16
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  • 17

    Large Scale Optimization Templates

    C++ templates with generic nonlinear optimization algorithms

    Highly tunable, simple to use collection of the templates, containing a set of classes for solving unconstrained large scale nonlinear optimization problems. Currently it contains: -- Limited Memory Quasi Newton (L-BFSG) -- BFSG -- Conjugate Gradient -- Gradient Descent -- Wolf condition Line Search -- Backtracking Line Search -- Exact Golden Search -- Golden Search with Wolf condition We also distribute a set of tests with the library.
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  • 18

    LBP in multiple platforms

    LBP implementation in multiple computing platforms (ARM,GPU, DSP...)

    The Local Binary Pattern (LBP) is a texture operator that is used in several different computer vision applications and implemented in a variety of platforms. When selecting a suitable LBP implementation platform, the specific application and its requirements in terms of performance, size, energy efficiency, cost and developing time has to be carefully considered. This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several...
    Downloads: 0 This Week
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  • 19
    Computer Vision Application.
    Downloads: 0 This Week
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  • 20

    NeuralGas

    Self-organized learning

    A collection of algorithms based on the topology preserving Neural Gas algorithm for density estimation/quantization/clustering/self-organized learning. I moved this project to GitHub: https://github.com/sergioroa/neuralgas
    Downloads: 0 This Week
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  • 21

    DiffGen

    Differentially-private algorithm based on Generalization

    Privacy-preserving data publishing addresses the problem of disclosing sensitive data when mining for useful information. Among existing privacy models, epsilon-differential privacy provides one of the strongest privacy guarantees and has no assumptions about an adversary's background knowledge. All the existing solutions that ensure epsilon-differential privacy handle the problem of disclosing relational and set-valued data in a privacy preserving manner separately. We developed an algorithm...
    Downloads: 0 This Week
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  • 22

    CvHMM

    Discrete Hidden Markov Models based on OpenCV

    This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects.
    Downloads: 0 This Week
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  • 23

    DHAC distribution

    DHAC distribution version

    DHAC distribution
    Downloads: 0 This Week
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  • 24
    mlpy

    mlpy

    Machine Learning Python

    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.
    Downloads: 2 This Week
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  • 25

    jaf_Kernels

    Similarity Word-Sequence Kernels for Sentence Clustering toolkit

    This project implements the techniques used in this paper: @INPROCEEDINGS{Andres10a, author = {Jesús Andrés-Ferrer and Germán Sanchis-Trilles and Francisco Casacuberta}, title = {Similarity Word-Sequence Kernels for Sentence Clustering}, booktitle = {Proceedings of the 8th International Workshop on Statistical Pattern Recognition}, year = {2010}, } This project depends on jaf_Utils: http://sourceforge.net/projects/jafutils/ Install it prior...
    Downloads: 0 This Week
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