Showing 88 open source projects for "learning"

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  • 1

    fantail-mlkit

    The fantail machine learning toolkit (Moved)

    Moved to https://github.com/quansun/fantail-ml
    Downloads: 0 This Week
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  • 2
    All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
    Downloads: 0 This Week
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  • 3

    LightPCC

    Parallel pairwise correlation computation on Intel Xeon Phi clusters

    The first parallel and distributed library for pairwise correlation/dependence computation on Intel Xeon Phi clusters. This library is written in C++ template classes and achieves high speed by exploring the SIMD-instruction-level and thread-level parallelism within Xeon Phis as well as accelerator-level parallelism among multiple Xeon Phis. To facilitate balanced workload distribution, we have proposed a general framework for symmetric all-pairs computation by building provable bijective...
    Downloads: 0 This Week
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  • 4
    Community Detection Modularity Suite

    Community Detection Modularity Suite

    Suite of community detection algorithms based on Modularity

    - MixtureModel_v1r1: overlapping community algorithm [3], which includes novel partition density and fuzzy modularity metrics. - OpenMP versions of algorithms in [1] are available to download. - Main suite containing three community detection algorithms based on the Modularity measure containing: Geodesic and Random Walk edge Betweenness [1] and Spectral Modularity [2]. Collaborator: Theologos Kotsos. [1] M. Newman & M. Girvan, Physical Review, E 69 (026113), 2004. [2] M....
    Downloads: 0 This Week
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  • 5
    Education Ellie

    Education Ellie

    Learning software for children and autistic

    What is? Students with learning difficulties or mental disabilities have knowledge level and teaching methods similar to students in the first cycle of basic education. This software aims to help in the learning of these pupils and students of primary. Why Ellie? Ellie name comes from the software mascot is an owl (symbol of knowledge) red, interacting with people and help using software.
    Downloads: 0 This Week
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  • 6
    Virtual Math Teams
    The Virtual Math Teams (VMT) Project (vmt.mathforum.org) at the Math Forum enables K-12 math collaborative learning, professional development of educators, & group cognition research. VMT is now integrated with GeoGebra (http://www.geogebra.org/).
    Downloads: 0 This Week
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  • 7
    Modular toolkit for Data Processing MDP
    ...The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.
    Downloads: 6 This Week
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  • 8

    LightSpMV

    lightweight GPU-based sparse matrix-vector multiplication (SpMV)

    LightSpMV is a novel CUDA-compatible sparse matrix-vector multiplication (SpMv) algorithm using the standard compressed sparse row (CSR) storage format. We have evaluated LightSpMV using various sparse matrices and further compared it to the CSR-based SpMV subprograms in the state-of-the-art CUSP and cuSPARSE. Performance evaluation reveals that on a single Tesla K40c GPU, LightSpMV is superior to both CUSP and cuSPARSE, with a speedup of up to 2.60 and 2.63 over CUSP, and up to 1.93 and...
    Downloads: 0 This Week
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  • 9
    The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.g. clustering, classification, graphical models, neural networks, Bayesian networks, text processing, optimization).
    Downloads: 0 This Week
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  • 10
    Adaptive Gaussian Filtering

    Adaptive Gaussian Filtering

    Machine learning with Gaussian kernels.

    Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities.
    Downloads: 0 This Week
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  • 11

    Face Recognition System

    Face Recognition System Matlab source code

    Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index Terms: face, recognition, eigenfaces, eigenvalues, eigenvectors, Karhunen-Loeve algorithm.
    Downloads: 0 This Week
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  • 12

    Fingerprint Recognition System

    Fingerprint Recognition System 5.3 - Matlab source code

    The proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature. Our system performs better than a...
    Downloads: 0 This Week
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  • 13

    Chordalysis

    Log-linear analysis (data modelling) for high-dimensional data

    ===== Project moved to https://github.com/fpetitjean/Chordalysis ===== Log-linear analysis is the statistical method used to capture multi-way relationships between variables. However, due to its exponential nature, previous approaches did not allow scale-up to more than a dozen variables. We present here Chordalysis, a log-linear analysis method for big data. Chordalysis exploits recent discoveries in graph theory by representing complex models as compositions of triangular structures,...
    Downloads: 0 This Week
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  • 14
    Lurch
    Software for teaching and learning mathematical proofs Where most mathematical proof software concentrates on formal logic (or some other specialty area of mathematics), Lurch aims to be truly general-purpose, with an attracitve user interface.
    Downloads: 3 This Week
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  • 15

    PyVision Computer Vision Toolkit

    A Python computer vision library

    PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries.
    Downloads: 0 This Week
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  • 16
    NOTE: This project was moved to: https://github.com/eetorres The MSMVTL is an easy to use Matrix and Vector template implementation for people who is learning numerical or simulation programming.
    Downloads: 0 This Week
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  • 17
    This project develops a simple, fast and easy to use Python graph library using NumPy, Scipy and PySparse.
    Downloads: 0 This Week
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  • 18
    LExAu: Learning Expectations Autonomously. Library for on-line data driven statistical machine learning.
    Downloads: 0 This Week
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  • 19
    Myrtle

    Myrtle

    A simple programmable spreadsheet for learning statistics.

    Myrtle is a simple programmable spreadsheet and statistical analysis software specifically designed for learning statistics. It provides the standard spreadsheet functionality one would expect like multiple tabbed sheets, relative and absolute row and column referencing in formulas, and a large catalog of built-in functions. Functions specific to logic and computer science, mathematics, probability, and statistics are available. Student's can easily create, customize, and update plots and graphical summaries of their analyses. ...
    Downloads: 0 This Week
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  • 20
    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
    Downloads: 3 This Week
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  • 21

    analyzematrix

    Command line tool for reporting details on a given matrix

    analyzematrix is a command line tool for learning detailed information about a matrix including its inverse, determinant, eigenvalues, eigenvectors, and singular value decomposition.
    Downloads: 0 This Week
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  • 22
    x2x (xbit2xbyte\xbyte2xbit)

    x2x (xbit2xbyte\xbyte2xbit)

    Converts xbits to xbytes, and back again if needed.

    xbit2xbyte and xbyte2xbit are designed as sample programs for programmers new to C# as well as a learning tool for the author. These two programs also fulfilled a genuine need to convert to xbits (megabit usually) to xbytes (megabytes, again usually) when dealing with things such as cartridge sizes ,which are generally expressed in megabits, and something the author frequently encountered. Thus, xbit can be used to convert whatever bit (mega, giga, etc.) to whatever byte (again, mega, giga, etc.), and the sister program can be used to convert the opposite way.
    Downloads: 0 This Week
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  • 23
    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.
    Downloads: 0 This Week
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  • 24

    Sphaerica

    Interactive spherical geometry software.

    Sphaerica is an interactive spherical geometry computer software. You can create complex geometric constructions in spherical geometry with this software. It supports orthogonal, stereographic and gnomonic projections to display your construction. It also has a built in scripting language for automated constructions.
    Downloads: 0 This Week
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  • 25

    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.
    Downloads: 0 This Week
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