Showing 3538 open source projects for "algorithms"

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  • 1
    C# Algorithms

    C# Algorithms

    Plug-and-play class-library project of standard data structures

    Algorithms, a class library project which contains the Algorithms implementations. Data Structures, a class library project which contains the Data Structures implementations. Also, UnitTest, a unit-testing project for the Algorithms and Data Structures.
    Downloads: 8 This Week
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  • 2
    The Algorithms Python

    The Algorithms Python

    All Algorithms implemented in Python

    The Algorithms-Python project is a comprehensive collection of Python implementations for a wide range of algorithms and data structures. It serves primarily as an educational resource for learners and developers who want to understand how algorithms work under the hood. Each implementation is designed with clarity in mind, favoring readability and comprehension over performance optimization.
    Downloads: 1 This Week
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  • 3
    The Algorithms - C++ #

    The Algorithms - C++ #

    Collection of various algorithms in mathematics, machine learning

    TheAlgorithms/C-Plus-Plus is a large open-source repository that collects implementations of many classic algorithms and data structures written in the C++ programming language. The project is part of the broader “The Algorithms” initiative, which maintains algorithm implementations in several programming languages to support education and knowledge sharing. Within the C++ repository, contributors implement algorithms across a wide range of fields including sorting, graph theory, number theory, machine learning, cryptography, and data structures. ...
    Downloads: 0 This Week
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  • 4
    Machine learning algorithms

    Machine learning algorithms

    Minimal and clean examples of machine learning algorithms

    Machine learning algorithms is an open-source repository that provides minimal and clean implementations of machine learning algorithms written primarily in Python. The project focuses on demonstrating how fundamental machine learning methods work internally by implementing them from scratch rather than relying on high-level libraries. This approach allows learners to study the mathematical and algorithmic details behind widely used models in a transparent and readable way. ...
    Downloads: 0 This Week
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  • 5
    Pythonic Data Structures and Algorithms

    Pythonic Data Structures and Algorithms

    Minimal examples of data structures and algorithms in Python

    The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference.
    Downloads: 3 This Week
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  • 6
    CGAL

    CGAL

    The Computational Geometry Algorithms Library

    CGAL or the Computational Geometry Algorithms Library is a C++ library that gives you easy access to a myriad of efficient and reliable geometric algorithms. These algorithms are useful in a wide range of applications, including computer aided design, robotics, molecular biology, medical imaging, geographic information systems and more. CGAL features a great range of data structures and algorithms, including Voronoi diagrams, cell complexes and polyhedra, triangulations, arrangements of curves, surface and volume mesh generation, spatial searching, alpha shapes, geometry processing, and many more. ...
    Downloads: 21 This Week
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  • 7
    CBIG

    CBIG

    Computational Brain Imaging Group tools

    CBIG is a comprehensive toolkit maintained by Thomas Yeo’s Computational Brain Imaging Group containing tools for processing and analyzing neuroimaging data—including fMRI preprocessing pipelines, brain parcellation algorithms, mental disorder subtyping models, fMRI dynamic models, registrations between brain spaces, and phenotypic prediction algorithms. After cloning/downloading this repository, please see README inside setup directory to see instructions on how to set up your local environment to be compatible with our repository. Brain parcellation tools (e.g., Yeo networks, Schaefer parcellations) for cortical mapping.
    Downloads: 96 This Week
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  • 8
    OnlineStats.jl

    OnlineStats.jl

    Single-pass algorithms for statistics

    OnlineStats does statistics and data visualization for big/streaming data via online algorithms. High-performance single-pass algorithms for statistics and data viz. Updated one observation at a time. Algorithms use O(1) memory. Algorithms use O(1) memory.
    Downloads: 8 This Week
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  • 9
    Manopt.jl

    Manopt.jl

    Optimization on Manifolds in Julia

    Optimization Algorithm on Riemannian Manifolds. A framework to implement arbitrary optimization algorithms on Riemannian Manifolds. Library of optimization algorithms on Riemannian manifolds. Easy-to-use interface for (debug) output and recording values during an algorithm run. Several tools to investigate the algorithms, gradients, and optimality criteria.
    Downloads: 7 This Week
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  • 10
    Navigational Algorithms

    Navigational Algorithms

    Navigational Algorithms - Marine navigation

    - Celestial Navigation: Sight Reduction, Line Of Position, Fix... - Positional Astronomy: Nautical Almanac, RA, GHA, Dec - Coastal Navigation: Range, Bering, Horizontal angles, IALA... - Sailings: Rhumbs, Loxodromic, Orthodromic, Meridional parts... - Weather , Tides - Software: PC, Android https://sites.google.com/site/navigationalalgorithms/
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    Downloads: 15 This Week
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  • 11
    ProximalAlgorithms.jl

    ProximalAlgorithms.jl

    Proximal algorithms for nonsmooth optimization in Julia

    A Julia package for non-smooth optimization algorithms. This package provides algorithms for the minimization of objective functions that include non-smooth terms, such as constraints or non-differentiable penalties.
    Downloads: 6 This Week
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  • 12
    InsightFace

    InsightFace

    State-of-the-art 2D and 3D Face Analysis Project

    ...InsightFace is an open-source 2D&3D deep face analysis library. InsightFace is an integrated Python library for 2D&3D face analysis. InsightFace efficiently implements a wide variety of state-of-the-art algorithms for face recognition, face detection, and face alignment, which are optimized for both training and deployment. Research institutes and industrial organizations can get benefits from InsightFace library.
    Downloads: 376 This Week
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  • 13
    Hello Algorithm

    Hello Algorithm

    Animated illustrations, one-click data structure

    Animated illustrations, one-click data structure and algorithm tutorials. This project aims to create an open source, free, novice-friendly introductory tutorial on data structures and algorithms. The whole book uses animated illustrations, the content is clear and easy to understand, and the learning curve is smooth, guiding beginners to explore the knowledge map of data structures and algorithms. The source code can be run with one click, helping readers improve their programming skills during exercises and understand the working principles of algorithms and the underlying implementation of data structures. ...
    Downloads: 13 This Week
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  • 14
    InferOpt.jl

    InferOpt.jl

    Combinatorial optimization layers for machine learning pipelines

    InferOpt.jl is a toolbox for using combinatorial optimization algorithms within machine learning pipelines. It allows you to create differentiable layers from optimization oracles that do not have meaningful derivatives. Typical examples include mixed integer linear programs or graph algorithms.
    Downloads: 9 This Week
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  • 15
    OptimalTransport.jl

    OptimalTransport.jl

    Optimal transport algorithms for Julia

    This package provides some Julia implementations of algorithms for computational optimal transport, including the Earth-Mover's (Wasserstein) distance, Sinkhorn algorithm for entropically regularized optimal transport as well as some variants or extensions. Notably, OptimalTransport.jl provides GPU acceleration through CUDA.jl and NNlibCUDA.jl.
    Downloads: 7 This Week
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  • 16
    Python Outlier Detection

    Python Outlier Detection

    A Python toolbox for scalable outlier detection

    ...PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS.
    Downloads: 8 This Week
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  • 17
    PlatEMO

    PlatEMO

    Evolutionary multi-objective optimization platform

    ...PlatEMO includes more than ninety existing popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model-based algorithm. Most of them are representative algorithms published in top journals after 2010. Users can select various figures to be displayed, including the Pareto front of the result, the Pareto set of the result, the true Pareto front, and the evolutionary trajectories of any performance indicator values. PlatEMO provides a powerful and friendly GUI, where users can configure all the settings and perform experiments in parallel via the GUI without writing any code.
    Downloads: 11 This Week
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  • 18
    LightZero

    LightZero

    [NeurIPS 2023 Spotlight] LightZero

    ...Developed by OpenDILab, LightZero focuses on providing a highly optimized and user-friendly platform for both academic research and industrial applications of MuZero and similar algorithms.
    Downloads: 31 This Week
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  • 19
    OR-Tools - Google Optimization Tools

    OR-Tools - Google Optimization Tools

    Google's software suite for combinatorial optimization

    Google Optimization Tools, also known as OR-Tools is an open-source, fast and portable software suite for solving combinatorial optimization problems. These encompass problems in vehicle routing, flows, integer and linear programming, and constraint programming. This suite contains a number of solvers, namely: a constraint programming solver; a linear programming solver; wrappers for commercial solvers (like Gurobi or CPLEX) and other open source solvers (SCIP, GLPK, etc.); among others....
    Downloads: 75 This Week
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  • 20
    Roots.jl

    Roots.jl

    Root finding functions for Julia

    ...The basic call is find_zero(f, x0, [M], [p]; kws...) where, typically, f is a function, x0 a starting point or bracketing interval, M is used to adjust the default algorithms used, and p can be used to pass in parameters. Bisection-like algorithms. For functions where a bracketing interval is known (one where f(a) and f(b) have alternate signs), a bracketing method, like Bisection, can be specified. The default is Bisection, for most floating point number types, employed in a manner exploiting floating point storage conventions. ...
    Downloads: 5 This Week
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  • 21
    SeedCrackerX

    SeedCrackerX

    Minecraft mod designed to reverse-engineer

    ...The system can also integrate with a shared database to contribute discovered seeds, enabling collaborative data gathering across users. Advanced features include brute-force algorithms that refine seed candidates based on structural patterns and hashed seed calculations.
    Downloads: 350 This Week
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  • 22
    Open Source Vizier

    Open Source Vizier

    Python-based research interface for blackbox

    Open Source (OSS) Vizier is a Python-based interface for blackbox optimization and research, based on Google’s original internal Vizier, one of the first hyperparameter tuning services designed to work at scale. Allows a user to setup an OSS Vizier Server, which can host black-box optimization algorithms to serve multiple clients simultaneously in a fault-tolerant manner to tune their objective functions. Defines abstractions and utilities for implementing new optimization algorithms for research and to be hosted in the service. A wide collection of objective functions and methods to benchmark and compare algorithms. Define a problem statement and study configuration. ...
    Downloads: 8 This Week
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  • 23
    BAT.jl

    BAT.jl

    A Bayesian Analysis Toolkit in Julia

    Welcome to BAT, a Bayesian analysis toolkit in Julia. BAT.jl offers a variety of posterior sampling, mode estimation and integration algorithms, supplemented by plotting recipes and I/O functionality. BAT.jl originated as a rewrite/redesign of BAT, the Bayesian Analysis Toolkit in C++. BAT.jl now offer a different set of functionality and a wider variety of algorithms than its C++ predecessor.
    Downloads: 15 This Week
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  • 24
    Vowpal Wabbit

    Vowpal Wabbit

    Machine learning system which pushes the frontier of machine learning

    ...There can even be multiple sets of free-form text in different namespaces. Similar to the few other online algorithm implementations out there. There are several optimization algorithms available with the baseline being sparse gradient descent (GD) on a loss function.
    Downloads: 7 This Week
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  • 25
    Java JWT

    Java JWT

    Java implementation of JSON Web Token (JWT)

    A Java implementation of JSON Web Token (JWT) - RFC 7519. This library requires Java 8 or higher. The last version that supported Java 7 was 3.11.0. The library implements JWT Verification and Signing using several algorithms. The Algorithm defines how a token is signed and verified. It can be instantiated with the raw value of the secret in the case of HMAC algorithms, or the key pairs or KeyProvider in the case of RSA and ECDSA algorithms. Once created, the instance is reusable for token signing and verification operations. When using RSA or ECDSA algorithms and you just need to sign JWTs you can avoid specifying a Public Key by passing a null value. ...
    Downloads: 12 This Week
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