Showing 1624 open source projects for "algorithm"

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  • 1
    Vowpal Wabbit

    Vowpal Wabbit

    Machine learning system which pushes the frontier of machine learning

    ...There is a specific focus on reinforcement learning with several contextual bandit algorithms implemented and the online nature lending to the problem well. Vowpal Wabbit is a destination for implementing and maturing state-of-the-art algorithms with performance in mind. The input format for the learning algorithm is substantially more flexible than might be expected. Examples can have features consisting of free-form text, which is interpreted in a bag-of-words way. 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: 0 This Week
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  • 2
    MLJAR Studio

    MLJAR Studio

    Python package for AutoML on Tabular Data with Feature Engineering

    We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data,...
    Downloads: 1 This Week
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  • 3
    NonlinearSolve.jl

    NonlinearSolve.jl

    High-performance and differentiation-enabled nonlinear solvers

    ...The package includes its own high-performance nonlinear solvers which include the ability to swap out to fast direct and iterative linear solvers, along with the ability to use sparse automatic differentiation for Jacobian construction and Jacobian-vector products. NonlinearSolve.jl interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code.
    Downloads: 0 This Week
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  • 4
    Wesh Network Toolkit

    Wesh Network Toolkit

    Async Mesh Network Protocol for Extreme Communication

    ...Wesh Protocol provides end-to-end encryption and perfect forward secrecy for all the exchanged messages. Distributed p2p transmissions and hosting over IPFS powered by CRDT algorithm. Efficient end-to-end encryption and perfect forward secrecy to prevent eavesdropping and provide reliable identity access management. Distributed authentication and authorization. Multiple devices per identity. Resilient p2p transmissions between groups of mutually-authorized users. Improved performance and availability with decentralized rendez-vous servers.
    Downloads: 0 This Week
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  • 5
    nghttp2

    nghttp2

    HTTP/2 C Library and tools

    nghttp2 is an implementation of HTTP/2 and its header compression algorithm HPACK in C. The framing layer of HTTP/2 is implemented as a form of reusable C library. On top of that, we have implemented HTTP/2 client, server and proxy. We have also developed a load test and benchmarking tool for HTTP/2. We have participated in httpbis working group since HTTP/2 draft-04, which is the first implementation draft.
    Downloads: 0 This Week
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  • 6
    Caire

    Caire

    Content aware image resize library

    Caire is a content aware image resize library based on Seam Carving for Content-Aware Image Resizing paper. An energy map (edge detection) is generated from the provided image. The algorithm tries to find the least important parts of the image taking into account the lowest energy values. Using a dynamic programming approach the algorithm will generate individual seams across the image from top to down, or from left to right (depending on the horizontal or vertical resizing) and will allocate for each seam a custom value, the least important pixels having the lowest energy cost and the most important ones having the highest cost. ...
    Downloads: 0 This Week
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  • 7
    carbone

    carbone

    Fast and simple report generator, from JSON to pdf, xslx, docx, odt

    Turn your JSON into PDF, DOCX, XLSX, PPTX, ODS and many more. Fast, Simple and Powerful report generator in any format PDF, DOCX, XLSX, ODT, PPTX, ODS, XML, CSV using templates and your JSON data as input.
    Downloads: 3 This Week
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  • 8
    SponsorBlock

    SponsorBlock

    Skip YouTube video sponsors (browser extension)

    ...It also supports skipping other categories, such as intros, outros, and reminders to subscribe, and skipping to the point with highlights. The extension also features an upvote/downvote system with a weighted random-based distribution algorithm. Once one person submits this information, everyone else with this extension will skip right over the sponsored segment. SponsorBlock is a crowdsourced browser extension that let's anyone submit the start and end time's of sponsored segments of YouTube videos.
    Downloads: 14 This Week
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  • 9
    SHAP

    SHAP

    A game theoretic approach to explain the output of ml models

    ...It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions. While SHAP can explain the output of any machine learning model, we have developed a high-speed exact algorithm for tree ensemble methods. Fast C++ implementations are supported for XGBoost, LightGBM, CatBoost, scikit-learn and pyspark tree models. To understand how a single feature effects the output of the model we can plot the SHAP value of that feature vs. the value of the feature for all the examples in a dataset. Since SHAP values represent a feature's responsibility for a change in the model output, the plot below represents the change in predicted house price as RM (the average number of rooms per house in an area) changes.
    Downloads: 0 This Week
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  • 10
    UNIT3D Community Edition

    UNIT3D Community Edition

    Private Torrent Tracker Built With Laravel, Livewire and AlpineJS

    ...It is MySQL Strict Mode Compliant, and PHP 8.2 Ready. The code is well-designed and follows the PSR-2 coding style. It uses an MVC Architecture to ensure clarity between logic and presentation. As a hashing algorithm of Bcrypt or Argon2 is used, to ensure a safe and proper way to store the passwords for the users. A lightweight Blade Templating Engine. Caching System Supporting: "apc,” "array,” "database,” "file," "memcached," and "redis" methods. Eloquent and much more.
    Downloads: 4 This Week
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  • 11
    ncnn

    ncnn

    High-performance neural network inference framework for mobile

    ...It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including Classical CNN (VGG AlexNet GoogleNet Inception), Face Detection (MTCNN RetinaFace), Segmentation (FCN PSPNet UNet YOLACT), and more. ncnn is currently being used in a number of Tencent applications, namely: QQ, Qzone, WeChat, and Pitu.
    Downloads: 23 This Week
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  • 12
    MiniSom

    MiniSom

    MiniSom is a minimalistic implementation of the Self Organizing Maps

    ...Minisom is designed to allow researchers to easily build on top of it and to give students the ability to quickly grasp its details. The project initially aimed for a minimalistic implementation of the Self-Organizing Map (SOM) algorithm, focusing on simplicity in features, dependencies, and code style. Although it has expanded in terms of features, it remains minimalistic by relying only on the numpy library and emphasizing vectorization in coding style.
    Downloads: 2 This Week
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  • 13
    BQSKit

    BQSKit

    Berkeley Quantum Synthesis Toolkit

    The Berkeley Quantum Synthesis Toolkit (BQSKit) [bis • kit] is a powerful and portable quantum compiler framework. It can be used with ease to compile quantum programs to efficient physical circuits for any QPU. A standard workflow utilizing BQSKit consists of loading a program into the framework, modeling the target QPU, compiling the program, and exporting the resulting circuit.
    Downloads: 2 This Week
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  • 14
    LeetCode Book

    LeetCode Book

    Comprehensive study guide for coding interviews

    LeetCode-Book is a comprehensive study guide for coding interviews that consolidates algorithm patterns, data-structure templates, and worked LeetCode solutions. It organizes problems by topic—arrays, linked lists, stacks/queues, trees/graphs, dynamic programming, greedy, backtracking, and math—so you can study systematically. Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs.
    Downloads: 6 This Week
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  • 15
    ZhParser

    ZhParser

    PostgreSQL extension for full-text search of Chinese language

    zhparser is a PostgreSQL extension for full-text search of Chinese text. It integrates with PostgreSQL's text search engine to tokenize Chinese characters using a dictionary-based segmentation algorithm. zhparser is a valuable tool for improving search accuracy and performance in Chinese-language applications.
    Downloads: 0 This Week
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  • 16
    morilog/jalali

    morilog/jalali

    This Package helps developers to easily work with Jalali

    Jalali calendar is a solar calendar that was used in Persia, variants of which today are still in use in Iran as well as Afghanistan. Read more on Wikipedia or see Calendar Converter. Calendar conversion is based on the algorithm provided by Kazimierz M. Borkowski and has a very good performance. CalendarUtils class was ported from jalaali/jalaali-js.
    Downloads: 0 This Week
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  • 17
    BasicBSpline.jl

    BasicBSpline.jl

    Basic (mathematical) operations for B-spline functions

    Basic (mathematical) operations for B-spline functions and related things with Julia.
    Downloads: 0 This Week
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  • 18
    Lasso.jl

    Lasso.jl

    Lasso/Elastic Net linear and generalized linear models

    Lasso.jl is a pure Julia implementation of the glmnet coordinate descent algorithm for fitting linear and generalized linear Lasso and Elastic Net models.
    Downloads: 0 This Week
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  • 19
    HDcube

    HDcube

    This is an ESRGAN model trained specifically for upscaling GameCube

    This is an ESRGAN model trained specifically for upscaling GameCube and Wii textures, but it can of course be used for other textures from that period, like PlayStation 2, Xbox or PC games from that time. It can be used for all image formats supported by Gamecube and Wii hardware and can remove its typical artifacts like CMPR Block Compression (DXT1 algorithm, also known as BC1), color palette errors, color reduction up to 8bit color depth and 1bit alpha depth. I recommend chaiNNer, which offers a graphical user interface and is based on a node system that can be used to solve very simple as well as very complex tasks effectively by "chaining" nodes together. You get the best quality if you upscale the alpha channel separately.
    Downloads: 3 This Week
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  • 20
    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: 0 This Week
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  • 21
    firo

    firo

    The privacy-focused cryptocurrency

    Firo is a privacy-focused cryptocurrency implementing zero-knowledge proofs to enable anonymous transactions while maintaining decentralization and auditability. Formerly known as Zcoin, Firo pioneered several innovations in privacy tech including the Lelantus protocol, which enables unlinkable and untraceable transactions without the need for trusted setup. It combines cutting-edge cryptographic research with user-friendly features, making it accessible to both everyday users and privacy...
    Downloads: 1 This Week
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  • 22
    LightZero

    LightZero

    [NeurIPS 2023 Spotlight] LightZero

    LightZero is an efficient, scalable, and open-source framework implementing MuZero, a powerful model-based reinforcement learning algorithm that learns to predict rewards and transitions without explicit environment models. 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: 1 This Week
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  • 23
    HDBSCAN

    HDBSCAN

    A high performance implementation of HDBSCAN clustering

    ...In practice this means that HDBSCAN returns a good clustering straight away with little or no parameter tuning -- and the primary parameter, minimum cluster size, is intuitive and easy to select. HDBSCAN is ideal for exploratory data analysis; it's a fast and robust algorithm that you can trust to return meaningful clusters (if there are any).
    Downloads: 1 This Week
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  • 24
    Eagleye

    Eagleye

    Precise localization based on GNSS and IMU

    Eagleye is an open-source software for vehicle localization utilizing GNSS and IMU[1]. Eagleye provides highly accurate and stable vehicle position and orientation by using GNSS Doppler[2][3][4][5][6]. The flowchart of the algorithm is shown in the figure below. The algorithms in this software are based on the outcome of the research undertaken by the Machinery Information Systems Lab (Meguro Lab) at Meijo University.
    Downloads: 1 This Week
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  • 25
    Machine Learning Octave

    Machine Learning Octave

    MatLab/Octave examples of popular machine learning algorithms

    This repository contains MATLAB / Octave implementations of popular machine learning algorithms, along with explanatory code and mathematical derivations, intended as educational material rather than production code. Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on mathematical steps. The repository includes clustering, regression, classification, neural networks, anomaly detection, and other standard ML topics. Does not rely heavily on specialized toolboxes or library shortcuts.
    Downloads: 2 This Week
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