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  • 1
    quiplib is a c++ library that contains some classes to simplify you network programing and ACE programming. And implement some important and useful patterns in templates
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  • 2
    R Hadoop for Big Data

    R Hadoop for Big Data

    Download Free Associated R open source script files for big data analy

    Download Free Associated R open source script files for big data analysis with Hadoop and R These are R script source file from Ram Venkat from a past Meetup we did at http://www.meetup.com/R-Matlab-Users/events/85160532/ Also, there is a long video and Powerpoint presentation slide PDF with R files at: http://quantlabs.net/blog/2012/11/how-to-use-hadoop-and-r-for-big-data-parallel-processing-free-download-pdf/ Download source files from http://quantlabs.net/blog/2012/11/download-free-associated-r-open-source-script-files-for-big-data-analysis-with-hadoop-and-r-rstats-hadoop/
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  • 3
    RBush

    RBush

    High-performance JavaScript R-tree-based 2D spatial index

    RBush is a high-performance JavaScript library for 2D spatial indexing of points and rectangles. It's based on an optimized R-tree data structure with bulk insertion support. Spatial index is a special data structure for points and rectangles that allows you to perform queries like "all items within this bounding box" very efficiently (e.g. hundreds of times faster than looping over all items). It's most commonly used in maps and data visualizations. The demos contain visualization of trees generated from 50k bulk-loaded random points. Open web console to see benchmarks; click on buttons to insert or remove items; click to perform search under the cursor. An optional argument to RBush defines the maximum number of entries in a tree node. 9 (used by default) is a reasonable choice for most applications. Higher value means faster insertion and slower search, and vice versa.
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  • 4
    RL++ is an easy to use modular open source library for Reinforcement Learning written in C++. It includes learning algorithms (TD, Sarsa, Q) as well as the implementation of value function representations (LookupTable, TileCoding, Neuronal Network).
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    Build Agents and Models on One Platform

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  • 5
    Raiden block cipher: An extremely lightweight and fast block cipher, developed using genetic programming, with the intention to be an alternative to TEA. This cipher is as fast as TEA, and without many of its known weaknesses.
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  • 6
    Random Projection Trees is a recursive space partitioning datastructure which can automatically adapt to the underlying (linear or non-linear) structure in data. It has strong theoretical guarantees on rates of convergence and works well in practice.
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  • 7
    A portable C++ library of multi-threaded STL algorithms (transform, accumulate...) using standard containers and iostreams. Thread, mutex, spinlock are templatized. Close to Intel Threading Building Blocks, HPC++ or PSTL. Idea of A.Stepanov and M.Austen.
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  • 8
    The Rank Aggregation and Evaluation Suite is a comprehensive set of rank aggregation algorithms and performance measurement tools for use in research.
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  • 9

    Rating AnalyzerTask for iQser GIN

    niPRO AnalyzerTask to calculate the rate popularity

    AnalyzerTask for calculating the rate popularity for ContentObjects integrated into the iQser GinServer. Developed by niPRO-Project.
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    Paessler - Monitor Your Whole Network in Minutes

    Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.

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  • 10
    React Fiber Architecture

    React Fiber Architecture

    A description of React's new core algorithm, React Fiber

    The React Fiber Architecture project is a detailed technical document that explains the internal design and behavior of React Fiber, the core algorithm that powers modern React rendering. Rather than being a traditional code library, it serves as an educational deep dive into how React manages updates, scheduling, and reconciliation under the hood. The document explores how Fiber replaces the older stack-based reconciliation algorithm with a more flexible system that breaks rendering work into incremental units. This enables advanced features such as interruptible rendering, prioritization of updates, and smoother user interfaces during complex operations. It also introduces the concept of fibers as data structures representing units of work that can be paused, resumed, or reused. The project is especially valuable for developers who want to understand React’s performance model and concurrency features at a low level.
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  • 11
    Framework for building event-driven applications based on the reactor pattern.
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  • 12
    Let P be a 2D point expressed in a plane area defined by four 2D points A,B,C,D. The aim of our C++ class is to express the coordinates of P in order to match when A,B,C,D is rectified as a rectangle. A demo application shows the use of the C++ class.
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  • 13
    Multi-platform regular expression (regex) creation. Highlights regex matches, and regex groups for quick regular expression creation. Save/load regular expression sessions. Create robust regex patterns on any major platform. Supports PCRE and wxRegEx.
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  • 14
    Regexp testing tool allows to apply group of regexps to huge arrays of data (millions or so) in order to investigate search or search/replacement possibilities of regexp group.
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  • 15
    Prosta klasa w c# zawierająca zestaw metod pozwalających na sprawdzenie poprawności podanych danych na podstawie wyrażeń regularnych.
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  • 16
    Reinforcement-learning

    Reinforcement-learning

    Implementation of Reinforcement Learning Algorithms. Python, OpenAI

    Reinforcement-learning is a widely used educational repository that provides implementations, exercises, and solutions for a broad range of reinforcement learning algorithms, designed to complement foundational texts and courses in the field. The project collects popular approaches such as dynamic programming, Monte Carlo methods, temporal difference learning, Q-learning, SARSA, deep Q-networks, and policy gradient techniques, often demonstrated with Python and OpenAI Gym environments so users can experiment with agents learning in simulated tasks. For each algorithm category, the repository pairs conceptual descriptions with runnable code and often illustrated exercises that help solidify understanding by bridging theory with practice. It’s structured to serve learners progressing from basic tabular methods to function approximation and deep learning extensions, making it suitable for students, researchers, or practitioners exploring reinforcement learning fundamentals.
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  • 17
    RAS is the acronym for Result Assessment System. The primary purpose of RAS is helping users manage, visualize, assess and report results obtained from experimental search algorithms.
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  • 18
    Extended randomization program. Support many custom randomization types and algorythms.
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  • 19
    Robot Warfare is a real-time strategy game that gives the user an opportunity to manage and program a team of battling robots that autonomously face opposing teams in a network-enabled environment.
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  • 20

    Robotypo

    Robotypo Web app hosts battles between robots - simple Java programs.

    Robotypo is a Web app which hosts battles between robots - simple Java programs. This project is the Eclipse project archive of RobotypoCreator, which is for creating robots on Robotypo: http://robotypo.appspot.com
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  • 21
    A fast way to rate the reading challenging level of book or text. Unlike well known reading metrics such as Fog, Kincaid, SMOG, ARI, Flesch, and Coleman-Liau readability this metric takes into account far more factors and is standarized against a corpus
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  • 22
    Depending on a SICK lasescan and a created environment landscape a routing function will be implemented to give a robot a few waypoint to drive from a start point to a choosen destination.
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  • 23
    Rubix ML

    Rubix ML

    A high-level machine learning and deep learning library for PHP

    Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects. Our intuitive interface is quick to grasp while hiding alot of power and complexity. Write less code and iterate faster leaving the hard stuff to us. Rubix ML utilizes a versatile modular architecture that is defined by a few key abstractions and their types and interfaces. Train models in a fraction of the time by installing the optional Tensor extension powered by C. Learners such as neural networks will automatically get a performance boost.
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  • 24
    RunAsApproximator es un programa java multilenguaje que implementa algoritmos numéricos. Los datos de entrada son aquellos requeridos por cada algoritmo y los de salida son resultado final y los datos intermedios necesarios para alcanzar su resolución.
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  • 25
    Rupantor- Bijoy to Unicode converter. It converts Bengali texts written in Bijoy fonts to UNICODE. রূপান্তর- বিজয় থেকে ইউনিকোড এ পরিবর্তন করার সফটওয়ার। এটি à
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