Search Results for "fast performance"
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Showing 12 open source projects for "fast performance"
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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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Algebraic graphs
Algebraic graphs
...We can give semantics to the constructors in terms of the pair (V, E) of graph vertices and edges. Alga can handle graphs comprising millions of vertices and billions of edges in a matter of seconds, which is fast enough for many applications. We believe there is a lot of potential for improving the performance of the library, and this is one of our top priorities. If you come across a performance issue when using the library, please let us know. -
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High speed math parser
Expression evaluator for Delphi developers
Version 2.5 is available! The latest changes are in TFastList class. It is the secondary class intended for fast string managment. The newest TGraph component is available as well. The new ParseUtils.FindFormula method allows searching any of possible formulas within some text. Parse components are intended for Delphi developers and perform high-speed (about 10 million evaluations per second) mathematics and boolean calculations. All components are available for Delphi 6, Delphi 7,... -
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Simple Calculator
A simple calculator.
This is a simple calculator written in C++ with the Qt framework, without any extra features. A program for minimalists. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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LAMA
Heterogeneous Software Development Accelerated
LAMA is a framework for developing hardware-independent, high performance code for heterogeneous computing systems. It facilitates the development of fast and scalable software that can be deployed on nearly every type of system with a single code base. By using LAMA for their application, software developers benefit from higher productivity and stay up to date with the latest hardware innovations, both leading to shorter time-to-market. -
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ViennaCL
Linear algebra and solver library using CUDA, OpenCL, and OpenMP
ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects. -
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as3delaunay
Delaunay triangulation and Voronoi diagram for Flash Builder 4 project
as3delaunay is an ActionScript 3 library that provides an implementation of Delaunay triangulation and Voronoi diagram generation. It is based on the well-known work of Raymond Hill and offers developers an efficient way to create and manipulate geometric structures for use in Flash and other AS3-based environments. The library enables users to generate Voronoi diagrams from a set of input points, allowing applications such as procedural map generation, image segmentation, and spatial... -
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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 state-of-the-art minutiae-based system when the performance requirement of the application system does not demand a very low false acceptance rate. ... -
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Javafastcomplex
Javafastcomplex has both mutable and immutable complex numbers
...Mutable complex numbers can then be used in the most performance-critical parts of the code with immutable complex numbers being used elsewhere. Performance improvement of mutable complex numbers is 10x in the best-case scenario and about 2x in real life complex number code. The package is released under the liberal MIT license. -
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LAPACK++ is a library for high performance linear algebra computations. This version includes support for solving linear systems using LU, Cholesky, QR matrix factorizations, for real and complex matrices.
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Goldy is a very fast C++ expression templates library for scientific and engineering computing that implements explicit SSE instructions and delivers performance compatible with native C/FORTRAN code.
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