Open Source Cygwin Algorithms
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Algorithms for Cygwin
Browse free open source Algorithms and projects for Cygwin below. Use the toggles on the left to filter open source Algorithms by OS, license, language, programming language, and project status.
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Armadillo
fast C++ library for linear algebra & scientific computing
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads: http://arma.sourceforge.net/download.html * Documentation: http://arma.sourceforge.net/docs.html * Bug reports: http://arma.sourceforge.net/faq.html * Git repo: https://gitlab.com/conradsnicta/armadillo-code -
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Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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jMetal is an object-oriented Java-based framework for solving multi-objective optimization problems with metaheuristics.
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QMC Logic Minimizer
combinational logic functions minimization
QMC Logic Minimizer is a versatile application for fast simplifying truth and reduce lines tables. This program offers a comfortable user interface for generating and minimizing of the combinational logic functions. It is unique for its possibility of minimizing several functions at the same time. This program is intended for practical digital devices constructors as well as formal scholars and academics. Features: - You can minimize up to 16 input variables and up to 16 output variables. - You can also reduce the number of table rows. - It allows you to name the input and output variables. - The table can be exported to HTML file and then you can use it in e.g. MS Word. - This program provides a comfortable interface, you can change fonts and colors. - It works on MS Windows, GNU/Linux, Mac OS. -
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C++ BigInt class
C++ BigInt class enables to work with arbitrary precision integers
C++ BigInt class that enables the user to work with arbitrary precision integers. Latest Version: 10.3 (2019-03-06) -
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Distant Speech Recognition
Beamforming and Speech Recognition Toolkit
BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and development of automatic distant speech recognition. -
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PileWorks provides the organizational structure for coordinating several different projects which approach some aspect of Pile Technology. PileWorks defines a set of interfaces and implements some basic infrastructure for Pile engines and agents.
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Adaptive Simulated Annealing (ASA)
simulated annealing optimization and importance-sampling
Adaptive Simulated Annealing (ASA) is a C-language code that finds the best global fit of a nonlinear cost-function over a D-dimensional space. ASA has over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems. -
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Bandicoot
fast C++ library for GPU linear algebra & scientific computing
* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code -
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Libface is a cross platform framework for developing face recognition algorithms and testing its performance.
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GLARE is a library and a software for product based optimization of reagent lists in the context of a chemical combinatorial library design. Large virtual combinatorial libraries containing 10^12 products have been optimized within a second.
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Tpl makes it easy to serialize your C data using just a handful of API functions. The data is stored in its native binary form for maximum efficiency. C, Perl and XML supported. Data is portable across CPU types and OS's from Unix to Mac to Windows.
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A .NET Library written in C# 2.0 for doing some mathematic operations as evaluating functions, plotting or finding roots. Visit the Project Web site at http://math-net.sourceforge.net.
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ACADO Toolkit
Toolkit for Automatic Control and Dynamic Optimization
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines. -
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ADTL is an Advanced Data structures Template Library written in C++. it includs sixteen kinds of stl-like contains, such as fibonacci heap,pariring heap,skew heap,avl tree,red-black tree,splay tree,skip list, unrolled linked list and so on.
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It is a HTML content extractor library. It is modular, so no need for using confusing regular expressions. The output is a character array, so the calling program just needs to know the file name and it gets the output in char array.
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Algo Trader (moved to AlgoSpace)
Algorithmic trading platform
This project is no longer supported. We are working on a new algorithmic trading platform with extreme fast execution speed and lots of cool features. Please visit http://www.algospace.com/ for more detail. -
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C++ SimpleTable is a class which enables the developer to create tables and detect design errors in compile-time
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CGL(C Generic Library) is a stl-like library written in pure C.It implements iterators, memory management,generic containers such as list,map, generic algorithms such as sort() and search(),and it can manipulate any types of data.
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CSST
Cascade and Sharing Survival Trees, an ensemble for survival analysis
Cascading and Sharing Survival Trees (CSST) is a tree-based enseble that allows to efficiently analize survival data. It is a strightforward extension of the CS4 method for lifetime collections of data. The CSST software comes along with its companion the CSST Prediction tool, to use the ensemble prediction in everyday life. Please, refer to the user's manual for further information. -
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Dantzig-Wolfe Solver
An implementation of Dantzig-Wolfe decomposition built upon GLPK
An implementation of Dantzig-Wolfe decomposition built upon the GNU Linear Programming Kit. This is a command line tool for solving properly decomposed linear programs. There are several examples and some documentation to guide the use of this solver. Forked over to GitHub (see link). -
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A verification library accompanied by a simple tool for verification of credit-cards, social security-numbers and other mod(10) and similar checksums in a standard shell-environment from the command-line or as a function. No compilation required.
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EGA
A novel and effictive GA algorithm to solve optimization problem
Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and. Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments demonstrate that the proposed method performs promisingly for well-known benchmark problems in the term of optimization accuracy.
