Showing 19 open source projects for "patterns"

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  • 1
    X's Recommendation Algorithm

    X's Recommendation Algorithm

    Source code for the X Recommendation Algorithm

    The Algorithm is Twitter’s open source release of the core ranking system that powers the platform’s home timeline. It provides transparency into how tweets are selected, prioritized, and surfaced to users, reflecting Twitter’s move toward openness in recommendation algorithms. The repository contains the recommendation pipeline, which incorporates signals such as engagement, relevance, and content features, and demonstrates how they combine to form ranked outputs. Written primarily in...
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  • 2
    interactive-coding-challenges

    interactive-coding-challenges

    120+ interactive Python coding interview challenges

    ...Problems span arrays, strings, stacks, queues, linked lists, trees, graphs, dynamic programming, and more, mirroring common interview themes. Many challenges include hints and reference solutions so you can compare approaches and learn idiomatic patterns. The structure encourages incremental improvement—start with a brute-force idea, then refine to optimal time and space complexity. It serves both as a self-study path and as a warm-up bank for interview prep or coding katas.
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  • 3
    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: 7 This Week
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  • 4
    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. ...
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  • 5
    FastFlow: programming multi-core

    FastFlow: programming multi-core

    Pattern-based multi/many-core parallel programming framework

    FastFlow is a C/C++ programming framework supporting the development of pattern-based parallel programs on multi/many-core, GPUs and distributed platforms. FastFlow run-time is built upon non-blocking threads and lock-free queues. Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on...
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  • 6
    SPar: Stream Parallelism in Multi-Cores

    SPar: Stream Parallelism in Multi-Cores

    An Embedded C++ Domain-Specific Language

    SPar is an internal C++ Domain-Specific Language (DSL) suitable to model and implement classical stream parallel patterns. The DSL uses standard C++ attributes to introduce annotations tagging the notable components of stream parallel applications: stream sources and stream processing stages. Latest version can be downloaded from the SVN using the following command: svn checkout svn://svn.code.sf.net/p/spar-dsl-compiler/svn/ spar
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  • 7
    Algorithms in Python

    Algorithms in Python

    Data Structures and Algorithms in Python

    ...It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. The repository is particularly useful for people preparing for competitive programming, job interviews, or building a foundational understanding of algorithmic patterns. Because it’s openly maintained, you can browse through issues, see test cases, and observe coding style in a “learning through code” fashion. It also serves as a playground where you can add problems, measure performance, and compare different algorithmic approaches. For anyone striving to move from “I know the syntax” to “I know how to use the right algorithm at the right time,” this repository is a practical asset.
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  • 8
    A markup language for expressing knitting patterns which can serve as a software interchange format
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  • 9
    BayesianCortex

    BayesianCortex

    simple algorithm for a realtime interactive visual cortex for painting

    A paint program where the canvas is the visual cortex of a simple kind of artificial intelligence. You paint with the mouse into its dreams and it responds by changing what you painted gradually. There will also be an API for using it with other programs as a general high-dimensional space. Each pixel's brightness is its own dimension. Bayesian nodes have exactly 3 childs because that is all thats needed to do NAND in a fuzzy way as Bayes' Rule which is NAND at certain extremes. NAND can be...
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  • 10
    Project provides a set of concurrent building blocks (Java & C/C++) that can be used to develop parallel/multi-threaded applications. Components are grouped into 4 categories: 1.Data Structures 2. Parallel Patterns 3.Parallel functions 4.Atomics and STM
    Downloads: 1 This Week
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  • 11
    This is a tidy lightweight library implementing a series of C++ Design Patterns, aiming to be simple, clean and portable. This library is made to help C++ programmers to develop projects with clearer and more compact source code.
    Downloads: 0 This Week
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  • 12
    LSGTL means LLX’s Static Graph Template Library which is a light-weighted header-only template library developed mainly for static graph analysis. LSGTL is expected to be used in laboratories for research purposes mostly.
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  • 13
    The project is created with an aim to provide - design patterns implemented in C++ using boost. Following are the primary requirements 1) Generic Header Only Library 2) Using Boost Libraries, Coding Style, Philosophy 3) Standard C++
    Downloads: 0 This Week
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  • 14
    Palex is a two-stage biological sequence searching system. Library will contain functions for searching patterns, palindromes and structures in DNA sequence.
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  • 15
    FunctionalJ is a library which makes it easy to use functional programming patterns in Java, such as representing functions as objects, partial function application, higher-order functions, mapping, folding, and more.
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  • 16
    The goal of this project is to build a co-occurrence network using google n-gram data. This project presents an easy and fast way to analyze Google n-gram data, which is contributed by Google Inc in 2006.
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  • 17
    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.
    Downloads: 0 This Week
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  • 18
    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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  • 19
    DMTL (Data Mining Template Library) - A generic C++ based library for mining structured patterns such as sets, sequences, trees and graphs. The library provides implementation of popular frequent pattern mining algorithms.
    Downloads: 0 This Week
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