Showing 169 open source projects for "data structures c"

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  • 1
    NestProfessor Programmer Edition
    This is a SDK which can nest/layout the part/geometry/polygon on the material or sheet intelligently, you can get the best utilization of the materials, this SDK also support read/write DXF/DWG files and part-in-part nesting. New nesting lagorithm is implenmented, more good to support true shape part or material.
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    Downloads: 0 This Week
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  • 2
    JS-Sorting-Algorithm

    JS-Sorting-Algorithm

    A GitBook online book on sorting algorithms

    JS-Sorting-Algorithm is an educational repository and GitBook-style resource about classic sorting algorithms. It explains sorting as a core topic in data structures and algorithms, with attention to internal sorting, external sorting, time complexity, memory usage, and stability. The guide covers ten major sorting methods, including bubble sort, selection sort, insertion sort, shell sort, merge sort, quicksort, heap sort, counting sort, bucket sort, and radix sort. It compares algorithms by complexity classes such as quadratic time, linearithmic time, and linear time. ...
    Downloads: 5 This Week
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  • 3

    Quadtree Demo

    Demonstrates a quadtree for spatial indexing of triangles

    This C++ demo allows users to interactively explore a quadtree's behavior. For this purpose the demo uses a quadtree data structure based on axis-aligned bounding boxes to speed up the search for triangles in a mesh. Depending on a search point all triangles of a quadtree's region are retrieved and relevant information about the search is shown.
    Downloads: 1 This Week
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  • 4
    StructPie

    StructPie

    A set of C libraries to implement data structures and algorithms

    Struct-Pie (Structures Pie) is a set of C shared libraries to implement data structures and algorithms so that they can be used/integrated easily into C projects. LIFO & FIFO Stack, Binary Search Tree, Priority Queue and a Hash Table are implemented and included in this package. Future releases will have many other data structures. The hash table in this package uses separate chaining to avoid collision.
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    libPGF

    libPGF

    libPGF is an implementation of the Progressive Graphics File (PGF)

    The Progressive Graphics File (PGF) is an efficient image file format, that is based on a fast, discrete wavelet transform with progressive coding features. PGF can be used for lossless and lossy compression. It's most suitable for natural images. PGF can be used as a very efficient and fast replacement of JPEG 2000.
    Downloads: 4 This Week
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  • 6
    C-squares

    C-squares

    Concise spatial query and representation system (c-squares)

    C-squares is an easily implemented method for storage, querying and display of spatial data locations, based on a hierarchical, grid-based representation of the Earth' surface. Source code for encoding, decoding, mapping, etc. is provided via this site. Additional support is available by contacting the system developer, Tony.Rees@marinespecies.org; see also the c-squares home page at http://www.cmar.csiro.au/csquares/ .
    Downloads: 2 This Week
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  • 7
    LibSEDML: Sharing Simulation Experiments
    This project hosts a library and tools for sharing simulation experiments encoded using SED-ML.
    Downloads: 1 This Week
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  • 8
    Base62 Encode/Decode Utility

    Base62 Encode/Decode Utility

    A tool for encoding/decoding to base62

    the package chewingum contains two main programs: - base62 - chew They have been implemented in perl. Base62 has been coded in c++ too. chew has been written to shorten long decimal integer numbers into base62 strings. It's not a mere base conversion, because it doesn't use arithmetic inside its logic. In this way it can convert very long numbers into strings quickly, without overflows. For example if I want to share an id using an url, this will make the url shorter. the...
    Downloads: 0 This Week
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  • 9
    interactive-coding-challenges

    interactive-coding-challenges

    120+ interactive Python coding interview challenges

    Interactive Coding Challenges is a collection of practice problems designed to strengthen data structures, algorithms, and problem-solving skills. The repository emphasizes a learn-by-doing approach: you read a prompt, attempt a solution, and verify behavior with tests, often within notebooks or scripts. Problems span arrays, strings, stacks, queues, linked lists, trees, graphs, dynamic programming, and more, mirroring common interview themes.
    Downloads: 0 This Week
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  • 10
    AhoCorasickDoubleArrayTrie

    AhoCorasickDoubleArrayTrie

    An extremely fast implementation of Aho Corasick algorithm

    AhoCorasickDoubleArrayTrie is a Java implementation of the Aho–Corasick multi-pattern matching algorithm that is optimized using a Double-Array Trie data structure. It is designed for fast keyword scanning across large texts, where you want to search for many patterns simultaneously and efficiently. The core idea is to build an automaton from a dictionary of patterns, then stream through input text to emit matches with minimal overhead. By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. ...
    Downloads: 0 This Week
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  • 11
    PRMLT

    PRMLT

    Matlab code of machine learning algorithms in book PRML

    This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). ...
    Downloads: 0 This Week
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  • 12
    libtdata

    libtdata

    Libtdata is a C library implements trees, index allocation and bit ops

    Libtdata is a small and portable C library implements a set of various search data structures, bit operations and index allocation.
    Downloads: 0 This Week
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  • 13
    Code Catalog in Python

    Code Catalog in Python

    Algorithms and data structures for review for coding interview

    code-catalog-python serves as a grab-bag of small, readable Python examples that illustrate common algorithms, data structures, and utility patterns. Each snippet aims to be self-contained and easy to study, with clear inputs, outputs, and the essential logic on display. The catalog format lets you scan for an example, copy it, and adapt it to your use case without wading through a large framework. It favors clarity over micro-optimizations so learners can grasp the idea before worrying about edge performance. ...
    Downloads: 0 This Week
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  • 14
    Kalibr Allan

    Kalibr Allan

    IMU Allan standard deviation charts

    kalibr_allan is a utility repository that provides scripts and tools for calculating IMU noise parameters for use in Kalibr and other IMU filtering systems. While manufacturers typically provide “white noise” values in IMU datasheets, the bias instability and random walk parameters must be determined experimentally. This project enables users to compute those values using Allan variance analysis from recorded IMU data. The workflow involves recording IMU measurements with the device...
    Downloads: 2 This Week
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  • 15
    Data Algorithm/leetcode/lintcode

    Data Algorithm/leetcode/lintcode

    Data Structure and Algorithm notes

    This work is some notes of learning and practicing data structures and algorithms. Part I is a brief introduction of basic data structures and algorithms, such as, linked lists, stack, queues, trees, sorting and etc. This book notes about learning data structure and algorithms. It was written in Simplified Chinese but other languages such as English and Traditional Chinese are also working in progress.
    Downloads: 0 This Week
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  • 16
    STXXL is an implementation of the C++ standard template library STL for external memory (out-of-core) computations, containers, and algorithms that can process huge volumes of data that only fit on disks.
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    Downloads: 9 This Week
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  • 17
    Linear Program Solver (Simplex)
    Linear Program Solver (Solvexo) is an optimization package intended for solving linear programming problems. The main features of the Solvexo are: · Solvexo solver is based on the efficient implementation of the simplex method (one or two phases); · Solvexo provides not only an answer, but a detailed solution process as a sequence of simplex matrices, so you can use it in studying (teaching) linear programming. · Solvexo provides a solution with the graphic method for problems with...
    Downloads: 3 This Week
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  • 18
    IVCon-TL 3D scene conversion tool

    IVCon-TL 3D scene conversion tool

    Converts between many 3D data formats

    IVCon-TL can read and write a variety of 3D graphics file formats, converting from one to the other. Supported formats include 3DS, ASE, BYU, DXF, GMOD, HRC, IV, OBJ, OFF, POV, SMF, STL/STLA/STLB, TEC, TRI/TRIA/TRIB, UCD, VLA, WRL/VRML, XGL and more.
    Downloads: 0 This Week
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  • 19

    LBSP

    Real-Time Processing Library for OSHW Biomedical Sensors

    Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. The performances of the different classes given in the size of memory allocated and execution time (number of...
    Downloads: 0 This Week
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  • 20
    TARQUIN

    TARQUIN

    MRS/NMR analysis software

    Analysis software for MRS/NMR data. Allows processing and fitting to be performed in a fully automatic workflow.
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    Downloads: 21 This Week
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  • 21

    cds

    Concurrent Data Structure library

    CDS (Concurrent Data Structures) is a C++ template library of lock-free and fine-grained lock-based algorithms. It contains a collection of concurrent data structures: queues, stacks, sets, maps, etc, and safe memory reclamation schema for concurrent containers - Hazard Pointer and user-space RCU. See doxygen doc http://libcds.sourceforge.net/doc/cds-api/index.html.
    Downloads: 0 This Week
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  • 22
    This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.
    Downloads: 1 This Week
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  • 23
    WOFF2

    WOFF2

    This document documents how to run the compression reference code

    woff2 is Google’s reference implementation of the WOFF2 webfont format, the modern, highly compressed container used by browsers to ship OpenType/TrueType fonts efficiently over the network. It integrates specialized transforms for font tables (like glyf/loca and variations data) with Brotli compression to squeeze out as many bytes as possible while preserving exact font fidelity on decode. The repository includes a compact C/C++ library and small command-line tools so you can convert existing TTF/OTF files to WOFF2 and back for testing or build pipelines. Its encoder applies deterministic, spec-compliant transformations that maximize compressibility without altering rendering results, making it safe for production web delivery. ...
    Downloads: 19 This Week
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  • 24
    CognitionMaster

    CognitionMaster

    object-based image analysis framework

    Wienert S, Heim D, Kotani M, Lindequist B, Stenzinger A, Ishii M, Hufnagl P, Beil M, Dietel M, Denkert C, Klauschen F. CognitionMaster: an object-based image analysis framework. Diagn Pathol 2013, 8:34
    Downloads: 0 This Week
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  • 25
    The Edge Machine Learning library

    The Edge Machine Learning library

    Machine learning algorithms for edge devices

    Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are...
    Downloads: 0 This Week
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