Search Results for "clustering"
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100 projects for "clustering" with 2 filters applied:
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Google Maps SDK for iOS Utility Library
Google Maps SDK for iOS Utility Library
google-maps-ios-utils is a collection of open-source utilities that extend the functionality of the Google Maps SDK for iOS. It provides additional features such as clustering, heatmaps, and geometry utilities to enhance map-based applications. -
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PHPFastCache
A high-performance backend cache system
PHPFastCache is a caching library that provides a simple and efficient way to manage data caching in PHP applications. It supports a variety of cache backends, including Redis, Memcached, APCu, and filesystem. The library is designed to enhance performance by reducing database load and speeding up content delivery. PHPFastCache’s flexible API and multi-driver support make it easy to implement caching in both small and large projects. -
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Cachex
A powerful caching library for Elixir with support for transactions
Cachex is a high-performance in-memory caching library for Elixir, offering a robust feature set including expirations, size limits, hooks, fallbacks, async operations, and clustering capabilities. The version 4.x release brought optimized janitor routines, modular streaming and querying, runtime cache warming, size pruning (LRW/LRU), distributed routing mechanisms, and a major documentation overhaul. It integrates seamlessly with Elixir applications via mix dependencies, supports advanced transactional use cases, and includes utilities for distributed node clusters. -
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Horde
Horde is a distributed Supervisor and Registry
...Because everything runs under OTP supervision, failures are isolated and recoveries are automatic, even during network partitions or rolling deploys. It integrates naturally with common clustering tools and plays well with PubSub, job systems, and presence tracking. The result is predictable, configuration-driven distribution that removes a lot of custom glue typically needed for multi-node Elixir systems. -
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Apache Spark
A unified analytics engine for large-scale data processing
Apache Spark is a unified engine for large-scale data processing, offering APIs for batch jobs, streaming, machine learning, and graph computation. It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming... -
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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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MOA - Massive Online Analysis
Big Data Stream Analytics Framework.
A framework for learning from a continuous supply of examples, a data stream. Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning. -
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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 classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites. -
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m23
Your linux deployment tool!
m23 is a free software distribution system (license: GPL), that installs (via network, starting with partitioning and formatting) and administrates (updates, adds / removes software, adds / removes scripts) clients with Debian, (X/K)Ubuntu and LinuxMint. It is used for deployment of Linux clients in schools, institutions and enterprises. The m23 server is controlled via a web interface. A new m23 client can be installed easily in only three steps. Group functions and mass installation... -
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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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minicle
A Node.js module for easily processing command line switches and args
There are scads of CLI parsers out there, so why another one? Mostly because the others aim to do too much and can be a pain to use when you just need something quick and simple. All Minicle does is parse CLI options. It doesn't handle exotic edge cases, generate usage information, validate arguments, or anything else. It does handle all the usual basics plus git-style subcommands. -
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The Community Scheduler Framework (CSF) is a set of Grid Services, implemented using the Globus Toolkit, which provides an environment for the development of metaschedulers that can dispatch jobs to resource managers such as LSF, SGE, PBS and Condor.
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coNCePTuaL
DSL for writing communication benchmarks
coNCePTuaL is a toolset for rapidly generating portable, readable, and reproducible network-performance tests. coNCePTuaL can perform the equivalent of many pages of C code with just a few mouse clicks or lines of code in a domain-specific language. -
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll... -
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jReflectServer
A lightweight Java HTTP server and webservice-framework
jReflectServer is a very small, lightweight and super easy-to-use java web-server and -framework for creating (distributed) pure java web-applications, webservices and small websites. jReflectServer is able to randomly forward requests to a cluster of remote server nodes. For this distributed code execution no special code is needed. A distributed session can be used to share data between the server instances. Due to its small footprint, it's also perfect for embedded hardware like the... -
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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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ParaStation is a robust and efficient cluster middleware, consisting of a high-performance communication layer (MPI) and a sophisticated management layer. Please notice, the public development has moved to github: https://github.com/ParaStation
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Project moved to GitHub! https://github.com/carrot2/carrot2 Carrot2 is an Open Source Search Results Clustering Engine. It can automatically organize small collections of documents, e.g. search results, into thematic categories. Carrot2 integrates very well with both Open Source and proprietary search engines.
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As of now, you can get Ehcache only from ehcache.org or Maven central. A simple, fast, thread safe, standards based cache for Java, and provides memory and disk stores and distributed operation for clusters. ehcache is widely used in such open source projects as Hibernate and Spring. Terracotta offers enterprise edition
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Cluster Orchestrator
orchestrator / cluster deployment tool
The Orchestrator server is responsible for distribution and launch of simple apply/rollback shell scripts in a particular order across multiple servers . If for any reason deployment is failing at a particular stage the process will stop and you can rollback any changes done until then. In case you want to deploy your code or just call your preferred DSC client to apply the configuration locally the Orchestrator can be a handy tool. The operation can be started manually or scheduled,... -
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The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of n-gram graphs within Natural Language Processing applications, ranging from summarization and summary evaluation to text classification and indexing.
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ODIE
Open Design and Integration Environment
The Open Design and Integration Environment is a toolbox of C and TCL code designed to introduce people to programming in a friendly way. It is also designed to be robust enough to novices to develop useful applications. -
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GGI stands for "General Graphics Interface", and it is a project that aims to develop a reliable, stable and fast graphics system that works everywhere. We want to allow any program using GGI to run on any platform requiring at most a recompile.
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
