Search Results for "data mining algorithms in c#.net" - Page 4
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Showing 316 open source projects for "data mining algorithms in c#.net"
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ALEPH-w
Data structures and Algorithms library
Aleph-w is a library of data structures and algorithms implemented in and for C++. It contains the main data structures: single and double lists, special arrays (dynamic and of bits), many types of trees: multitrees, binary search trees, avl, red-black, randomized, treaps, splay and other interesting types. Several types of hash tables are implemented: separated chaining, open adressing with linear probing and double function hash; this last one has a garbage colector mechanism that allows to free deleted entries. ... -
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This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.
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SPar: Stream Parallelism in Multi-Cores
An Embedded C++ Domain-Specific Language
SPar is an internal C++ Domain-Specific Language (DSL) suitable to model and implement classical stream parallel patterns. The DSL uses standard C++ attributes to introduce annotations tagging the notable components of stream parallel applications: stream sources and stream processing stages. Latest version can be downloaded from the SVN using the following command: svn checkout svn://svn.code.sf.net/p/spar-dsl-compiler/svn/ spar -
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LBSP
Real-Time Processing Library for OSHW Biomedical Sensors
Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. The performances of the different classes given in the size of memory allocated and execution time (number of... -
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TARQUIN
MRS/NMR analysis software
Analysis software for MRS/NMR data. Allows processing and fitting to be performed in a fully automatic workflow. -
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WOFF2
This document documents how to run the compression reference code
woff2 is Google’s reference implementation of the WOFF2 webfont format, the modern, highly compressed container used by browsers to ship OpenType/TrueType fonts efficiently over the network. It integrates specialized transforms for font tables (like glyf/loca and variations data) with Brotli compression to squeeze out as many bytes as possible while preserving exact font fidelity on decode. The repository includes a compact C/C++ library and small command-line tools so you can convert... -
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This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package
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cds
Concurrent Data Structure library
CDS (Concurrent Data Structures) is a C++ template library of lock-free and fine-grained lock-based algorithms. It contains a collection of concurrent data structures: queues, stacks, sets, maps, etc, and safe memory reclamation schema for concurrent containers - Hazard Pointer and user-space RCU. See doxygen doc http://libcds.sourceforge.net/doc/cds-api/index.html. -
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NiceHash Miner
NiceHash easy to use CPU & GPU miner
NiceHash Miner is an easy to use CPU & GPU cryptocurrency miner for Windows. With a simple an intuitive graphical user interface it allows you to quickly turn your PC, workstation or server into money-making cryptocurrency mining machine. Why leave your computer idle, whereas it could earn you Bitcoins with just a few clicks? NiceHash Miner is essentially the only tool a miner needs. No need to go through tons of configuration files, various mining software versions, configuration tuning... -
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The Edge Machine Learning library
Machine learning algorithms for edge devices
Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are... -
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FractalNow
Fast, advanced, multi-platform fractal generator
FractalNow provides users with tools to generate pictures of various types of fractals quickly and easily. It is made of both a command line tool, FractalNow, and a graphical tool, QFractalNow. The graphical tool, based on Qt library, allows users to explore fractals intuitively and generate pictures. Both tools are entirely multi-threaded and implement advanced algorithms and heuristics that make computation very fast compared to most existing free fractal generators. -
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CUBiBit
Tool to search binary biclusters on CUDA-enabled GPUs
CUBiBit is a parallel tool to accelerate the search of biclusters on binary datasets using CUDA-enabled GPUs. This data mining procedure is especially useful for gene expression data. This tool receives as input a file with ARFF extension that contais the binary values of m attributes and n samples and returns a file with the biclustering information. It is able to exploit the parallel capabilities of manycore NVIDIA GPUS. It also makes use of C++11 multithreading support to accelerate one phase of the algorithm on several CPU cores. -
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TOL
Total Order Labeling for Reachability Queries on Large Dynamic Graphs
This is the code used in the following paper: Andy Diwen Zhu, Wenqing Lin, Sibo Wang, and Xiaokui Xiao. Reachability queries on large dynamic graphs: a total order approach. In Proceedings of the 2014 ACM SIGMOD international conference on Management of data (SIGMOD '14). Please cite the paper if you choose to use the code. -
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OpenANN
Basic Artificial Neural Network
OpenANN is a basic artificial neural network toolset. It is not being actively maintained. For performance neural networking, consider an alternative (such as https://sourceforge.net/projects/openann-project or https://www.tensorflow.org) -
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CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data... -
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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).
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LinAsm
Collection of fast and optimized assembly libraries for x86-64 Linux
LinAsm is collection of very fast and SIMD optimized assembly written libraries for x86-64 Linux. It implements many common and widely used algorithms for array manipulations: searching, sorting, arithmetic and vector operations, unit conversions; fast mathematical and statistic functions; numbers and time converting algorithms; finite impulse response (FIR) digital filters; spectrum analysis algorithms, Fast Hartley transformation; CPU cache friendly functions and extremely fast abstract... -
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Burris Numerical System
A Numerical System controlled by algorithms.
BNS - Burris Numerical System was written to store the last digit of a number in 3 dimensional space but store the rest of the number mathematically in the 4th dimension of space. The result is that no matter how long the number is you can write it down on a piece of paper and put it in your pocket. The software can be used to retrieve the number. This can be used to save computer files. The only limit with BNS is how much time the user has. The software nor the numerical system has no... -
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Attitude Estimator
A C++ implementation of a nonlinear 3D IMU fusion algorithm.
Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms, tuneable estimator parameters, and near-global stability backed by theoretical analysis. ... -
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CFD2D
The incompressible Navier-Stokes equations solver in 2D domains
CFD2D is open source software for Linux for solving the non-dimensionalized incompressible Navier-Stokes equations (NSE) inside an arbitrary two-dimensional domain inscribed in a unit square with Dirichlet and "do-nothing" boundary conditions. The space discretization is based on Finite Element Method (FEM) using an approximately uniform triangular mesh. The two choices of FE spaces are offered, these are of the so called MINI-element and of the Taylor-Hood element. The first element... -
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Ionwinze
Spot the differences between samples, groups and classes
To download please go to Browse All Files for the complete pack! In mass spectrometry the detector responses are not always directly proportional to the quantity of compounds. Large peaks in LCMS traces are not equal to major components but their ionizability. The effectiveness of a medicinal plant, poisons in a mushroom, resistance and susceptibility to pest and diseases are not necessarily because of the compounds that give large peaks. These traits are determined by the different... -
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Genetic Programming Classifier is a distributed evolutionary data classification program. It uses the ensemble method implemented under a parallel co-evolutionary Genetic Programming technique.
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RDKit
Open-Source Cheminformatics and Machine Learning
A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches. -
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GeoDMA
Geographic feature extraction and data mining
GeoDMA is a plugin for TerraView software, used for geographical data mining. With a single image, the user can perform segmentation, attributes extraction, normalization and classification.
