Search Results for "virtual windows machine"
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Showing 28 open source projects for "virtual windows machine"
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CUTLASS
CUDA Templates for Linear Algebra Subroutines
CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. These thread-wide, warp-wide, block-wide, and device-wide... -
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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:... -
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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... -
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Uranie
Uranie is CEA's uncertainty analysis platform, based on ROOT
Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is... -
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stkpp
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... -
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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. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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Turing and Post Machines: C++ Simulators
Turing and Post Machines' C++ Simulators
The C++-programs simulate : Nondeterministic/Deterministic Multitape Turing & Post Machines, Universal Turing Machine, Turing Machine with faults, failures and recovery. -
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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. Libagf also includes clustering algorithms as well as comparison and validation... -
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Aims of this Project are 1. Integrating various Vision, Machine learning library based on OpenCV. 2. Providing various function based on the integrated library. 3. Using OpenCV with template based STL like code
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fvm2
FVM2 - F Virtual Machine v2
FVM2 is VM for running machines like Markov algorithms, Turing machine and so on. FVM2 has debugger with step mode and breakpoints. Goal of this project is to help students with studying Theory of computation. FVM2 shows how complex code works within a real machine. Currently the only implemented machine is Markov algorithms. -
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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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MuPuPriNT
A primality/compositeness tester for different types of numbers.
...It is basic, yet full-featured, and offers several different testing methods for each type of number. MuPuPriNT is built on the GNU Multiple-Precision (GMP) integer + rational library, and is available for Windows, OS X, and Linux. Source code is available as well, and can be built on any machine with Qt installed. As of version 2.0, MuPuPriNT is built on the cross-platform Qt application framework. There are currently two versions: MuPuPriNT and MuPuPriNT Extended. -
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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. -
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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. -
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The C++-programs simulate : Nondeterministic/Deterministic Multitape Turing & Post Machines, Universal Turing Machine, Turing Machine with faults, failures and recovery.
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BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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Torch5 provides a matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to a easy and fast scripting language (Lua) and a underlying C++ implementation.
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OSlash is a c++ framework for developing decentralized cloud computing services. It includes a programming environment and virtual machine for assembling networks of processing nodes coordinate their operations through message passing.
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Bidirectional computer, bicomp, is a virtual machine designed to aid in the research of complexity. bicomp runs its programs in forward or reverse. The program either produces a result from two inputs, or a list of possible inputs given a result.
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Structlab is a machine learning C++ framework for structured domains, which provides a toolbox of learning methods and tools for preprocessing and visualization. It also provides a GUI to setup elaborate experiments in a visual and intuitive way.
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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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Misc packages including a matrix application, a text based minesweeper, and simple console functions bundled to be run from a virtual console. Some packages are independently runnable. http://damf.sourceforge.net/ for more information.
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Virtual TI emulates nearly the entire line of Texas Instruments graphing calculators, and offers features that speed up both debugging and testing of calculator programs. Windows version is quite stable but the Linux/OSX version is only in planning.
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Emily is a friendly name for the Machine Learning Environment (MLE). This project is at an early stage of development, and no alpha code is yet available.
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Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.
