Search Results for "vx-linux" - Page 17
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Showing 1283 open source projects for "vx-linux"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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The fstrcmp project provides a shared library for making fuzzy string comparisons, and also provides an fstrcmp command for use in shell scripts.
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Concurrency Freaks
A library with Scalable (and fast) Read-Write locks
This library contains Java code for several Read-Write Locks: - ScalableRWLock: A rw-lock that scales with the number of threads doing read-lock. - ScalableRWLockS: Similar to above but different implementation. - ScalableStampedRWLock: An hybrid of the ScalableRWLock and the StampedLock provided in JDK 8, which provides good overall performance. - FAARWLock: Uses a Fetch-And-Add operation for the read-lock which means it is not so scalable as ScalableRWLock but it is still faster than... -
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FFT for ARMv6
Fixed point 16/32 integer FFT library for the Raspberry Pi and Android
This library is being created as I have a need to do very fast FFTs on low end devices not supporting the NEON instruction set. The Raspberry Pi is an ideal candidate for developing in gcc before porting to JNI for low spec Android devices, hence it's inclusion. Fixed point 16/32 integer FFT library suitable for the Raspberry Pi and Android devices. Includes test stubs for gcc on the Raspberry Pi and a Basic4Android wrapper from JNI. It includes hand optimised ARMv6 assembler,... -
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thecodemonkey's JBase64
free and fast implementation of a Base64 coder for Java
This is a completely free (as defined by the Free Software Foundation), fast implementation of a Base64 coder for Java developers as replacement for the SUN proprietary library -
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Comparador de Algoritmos de Ordenação
Comparador de Algoritmos de Ordenação
Comparador de Algoritmos de Ordenação -
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Weka4OC GUI for Overlapping clustering
Weka4OC: Weka for Overlapping Clustering is a GUI extending WEKA
This is a GUI application for learning non disjoint groups based on Weka machine learning framework. It offers a variety of learning methods, based on k-means, able to produce overlapping clusters. The application also contains an evaluation framework that calculates several external validation measures. The application offers a visualization tool to discover overlapping groups. -
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ktree
clustering, machine learning, algorithms
This project has moved to github at http://lmwtree.devries.ninja. -
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Pre-projetos_MLCM - É um conjunto de Programas e códigos fonte dos mesmos, com finalidade educacionais para a área de TI. Sendo eles programas simples que foram desenvolvidos para a aquisição de nota no curso de BCC. Os programas em si, estão ainda em desenvolvimento sendo disponibilizado uma prévia dos progressivos resultados, não se tendo uma data de finalização do projeto definida. Fica a disposição os códigos deles sobre a licença GPL para que estudantes e interessados possam fazer uso e...
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Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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Linking AnalyzerTask for iQser GIN
niPRO AnalyzerTask to calculate link popularity
AnalyzerTask to calculate the link popularity (SIN LP) for ContentObjects integrated into the iQser GinServer. Developed by niPRO-Project. -
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drvq
dimensionality-recursive vector quantization
drvq is a C++ library implementation of dimensionality-recursive vector quantization, a fast vector quantization method in high-dimensional Euclidean spaces under arbitrary data distributions. It is an approximation of k-means that is practically constant in data size and applies to arbitrarily high dimensions but can only scale to a few thousands of centroids. As a by-product of training, a tree structure performs either exact or approximate quantization on trained centroids, the latter... -
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IterInt is a numerical integration package that implements iterated numerical integration methods. Iterated methods can be used to compute low dimensional (less than ten, for example) integration problems to get very accurate results.
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This library implements a thread-safe skip list data structure - a kind of list with good insertion, deletion and searching performances. It uses Fred Fish's dbug library as internal tracing/debugging system. See the web site for more details.
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ivl
A C++ template library extending syntax towards mathematical notation
ivl is a full-header template C++98 math library with convenient yet powerful syntax. It extends classic C++ syntax towards mathematical notation while making use of the language's elements like classes, structs, operators and functions. Expression written using ivl are excessively optimized. In other words, ivl allows writing simpler and more expressive statements using math-like formulas while taking care of optimizing them. ivl features arrays, tuples and custom function-like... -
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2D-Physics-Engine
2D physics engine and simulation
Simulate 2D physics with my engine entirely made in JavaScript. Modify live existing scenarii or create your own from scratch with the live editor. Try it on the demo web site! :) Note : If you intend to download and use the sources as it is, you need to host it as scenario resquests are made in AJAX. -
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Image Sorter
A visual animated demonstration of two sorting algorithms
An applet designed to demonstrate visually the steps taken by two sorting algorithms -- Insertion sort and Selection sort. -
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Funnel Sort
command line sort utility
Moved to GitHub https://github.com/fedups A command-line utility to sort files. Funnel is a sort utility to sort files, large and small. It efficiently handles fixed length records and variable length records. Funnel easily handles ascii (readable) data and binary data. There are many more features in Funnel. It is easy to use and very fast. All documentation is on the Wiki. -
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AlgART Java Libraries
Open source library for processing arrays and matrices
AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over... -
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algebrain
Math Parser for Java
Moved to GitHub https://github.com/fedups Algebraic equation processing at run time for Java programs. Supports variables, functions with parameters, rate table lookups, an embedded "if" function... Infinitely extensible, very small footprint. -
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An optimized java library for genetic algorithms. The library is designed to be fast and memory light, but still very easy to use.
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WM Hyperintensities Segmentation Toolbox
Open Source White Matter Hyperintensities Segmentation Toolbox
Wisconsin White Matter Hyperintensity Segmentation [W2MHS] and Quantification Toolbox is an open source MatLab toolbox designed for detecting and quantifying White Matter Hyperintensities (WMH) in Alzheimer’s and aging related neurological disorders. WMHs arise as bright regions on T2- weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer’s disease (AD) with regard to its prognosis. Our toolbox... -
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Damerau Levenshtein
Java Library for Damerau Levenshtein Algorithm
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Levenshtein distance Java Libarary
Java library implementing Levensh distnce
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matrix.h
Some basic matrix algorithms implemented in C
This is a collection of some matrix algorithms like matrix inverse, LU decomposition, Gauss elimination, matrix multiplication, matrix pow, matrix add, matrix subtract etc. This package also contains debugging information for the above algorithms -
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PPSeq: Parallel NGS Analysis
Parallel Processing for Next-Generation Sequencing (NGS) Analysis
High-throughput next generation sequencing (NGS) technology has quickly emerged as a powerful tool in many aspects of biomedical research. However, along with its rapid development, the data magnitude and analysis complexity for NGS far exceed the capacity and capability of traditional small-scale computing facilities, such as multithreading algorithms on standalone workstations. To address this issue, here we present a solution using the ever-increasing supply of processing power by massive...
