Showing 1631 open source projects for "algorithms"

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  • 1
    SILE

    SILE

    The SILE Typesetter — Simon’s Improved Layout Engine

    SILE is a typesetting system; its job is to produce beautiful printed documents. Conceptually, SILE is similar to TeX—from which it borrows some concepts and even syntax and algorithms—but the similarities end there. Rather than being a derivative of the TeX family SILE is a new typesetting and layout engine written from the ground up using modern technologies and borrowing some ideas from graphical systems such as InDesign.
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  • 2
    dateutil

    dateutil

    Useful extensions to the standard Python datetime features

    The dateutil module provides powerful extensions to the standard date time module, available in Python. dateutil can be installed from PyPI using pip (note that the package name is different from the importable name).
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  • 3
    Random Cut Forest by AWS

    Random Cut Forest by AWS

    An implementation of the Random Cut Forest data structure

    This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for streaming data. Later new algorithms based on RCFs were developed for density estimation, imputation, and forecasting. The different directories correspond to equivalent implementations in different languages, and bindings to to those base implementations, using language-specific features...
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  • 4
    type-challenges

    type-challenges

    Collection of TypeScript type challenges with online judge

    type-challenges is a massive set of TypeScript type-level puzzles that turn the compiler into a playground for metaprogramming. Each challenge is a miniature kata where you implement types that transform other types—parsing strings, inferring tuples, mapping unions—without writing any runtime code. Problems are arranged from warm-ups to brain-twisters, letting developers build intuition about distributive conditional types, inference in extends, variance, and other corner cases of the type...
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    Double Conversion

    Double Conversion

    Efficient binary-decimal & decimal-binary conversion routines for IEEE

    Double Conversion is a high-performance C++ library that provides precise and efficient binary-decimal and decimal-binary conversion routines for IEEE 754 double-precision floating-point numbers. Originally extracted from the V8 JavaScript engine, it was refactored into a standalone library to make its robust number conversion algorithms easily reusable in other projects. The library ensures consistent and accurate results for converting between double values and their string representations...
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  • 6
    XLS

    XLS

    XLS: Accelerated HW Synthesis

    XLS is an open-source toolkit for building high-level hardware with a modern compiler stack that spans from a functional DSL to optimized IR and hardware generation. At the front end, DSLX lets you describe algorithms with strong typing and familiar control flow while remaining synthesis-friendly. The compiler lowers DSLX into a rich intermediate representation, applies aggressive optimization and scheduling passes, and can either JIT the design for software simulation or emit Verilog for FPGA...
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  • 7
    RLax

    RLax

    Library of JAX-based building blocks for reinforcement learning agents

    RLax (pronounced “relax”) is a JAX-based library developed by Google DeepMind that provides reusable mathematical building blocks for constructing reinforcement learning (RL) agents. Rather than implementing full algorithms, RLax focuses on the core functional operations that underpin RL methods—such as computing value functions, returns, policy gradients, and loss terms—allowing researchers to flexibly assemble their own agents. It supports both on-policy and off-policy learning, as well...
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  • 8
    CodeGuide

    CodeGuide

    This repository is a collection of the author, Xiao Fuge

    CodeGuide is a curated collection of Java development resources built from years of real-world engineering experience by the author, who has worked extensively in large-scale internet companies. The project serves as a structured and comprehensive learning path for developers who want to strengthen their understanding of Java fundamentals and core programming practices. It includes detailed explanations of design patterns, source code analysis, frameworks, algorithms, and real-world project...
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  • 9
    hithesis

    hithesis

    LaTeX thesis template package for Harbin Institute of Technology

    ..., algorithms, and code. It supports Chinese and English typesetting, sensible defaults for fonts, and modern engines like XeLaTeX for robust CJK support. Cross-references, numbering, and page layout are automated, reducing the risk of last-minute formatting errors before submission. Clear build instructions and commented examples help you slot in your content while keeping the required style intact.
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  • 10
    Scalaz

    Scalaz

    Principled Functional Programming in Scala

    ..., and interpretable programs. Its type class–oriented design lets you write generic algorithms over capabilities rather than concrete types, improving reuse and testability. Scalaz also contributes optics, equality/ordering abstractions, and lawful instances with property-based tests to ensure algebraic laws hold. While the Scala ecosystem now includes sibling projects, Scalaz remains a deep toolbox for principled FP in Scala and a reference point for category-theory-inspired design on the JVM.
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  • 11
    GeoStats.jl

    GeoStats.jl

    An extensible framework for geospatial data science

    GeoStats.jl is a Julia framework for geospatial data science and geostatistical modeling. It’s fully implemented in Julia and designed to provide an extensible, high-performance stack that handles spatial domains, interpolation, simulation, learning, and visualization. The package is modular: it breaks out geometry, spatial domains, transforms, variograms, covariance models, and modeling into subpackages (e.g., GeoStatsBase, GeoStatsModels, GeoStatsTransforms). Users can represent...
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  • 12
    Embedded Template Library (ETL)

    Embedded Template Library (ETL)

    Embedded Template Library

    C++ is a great language to use for embedded applications and templates are a powerful aspect. The standard library can offer a great deal of well-tested functionality, but there are some parts of the standard library that do not fit well with deterministic behavior and limited resource requirements. These limitations usually preclude the use of dynamically allocated memory and containers with open-ended sizes. What is needed is a template library where the user can declare the size, or...
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  • 13
    Go Examples

    Go Examples

    Go(lang) examples

    Now with an online live editor with Golang support. Try out and edit the examples directly in the browser. These examples explain the basics of Golang. There will be more examples from time to time. The examples are divided into three levels of difficulty. The Beginner section contains very easy examples, starting with Hello World but also containing a few easy algorithms. The Advanced section uses more complicated features of Golang. Finally, the Expert section contains applications like...
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  • 14
    mlpack

    mlpack

    mlpack: a scalable C++ machine learning library

    ... algebra library, the ensmallen numerical optimization library, and parts of Boost. Aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. mlpack uses CMake as a build system and allows several flexible build configuration options. You can consult any of the CMake tutorials for further documentation, but this tutorial should be enough to get mlpack built and installed.
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  • 15
    Kornia

    Kornia

    Open Source Differentiable Computer Vision Library

    ... neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. With Kornia we fill the gap between classical and deep computer vision that implements standard and advanced vision algorithms for AI. Our libraries and initiatives are always according to the community needs.
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  • 16
    Luigi

    Luigi

    Python module that helps you build complex pipelines of batch jobs

    ... jobs, dumping data to/from databases, running machine learning algorithms, or anything else. You can build pretty much any task you want, but Luigi also comes with a toolbox of several common task templates that you use. It includes support for running Python mapreduce jobs in Hadoop, as well as Hive, and Pig, jobs. It also comes with file system abstractions for HDFS, and local files that ensures all file system operations are atomic.
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  • 17
    DecisionTree.jl

    DecisionTree.jl

    Julia implementation of Decision Tree (CART) Random Forest algorithm

    Julia implementation of Decision Tree (CART) and Random Forest algorithms.
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  • 18
    Gait Tracking With x-IMU

    Gait Tracking With x-IMU

    Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking

    This repository provides the source code for a foot-tracking algorithm using an inertial measurement unit (IMU) attached to the foot, as demonstrated in Seb Madgwick’s “3D Tracking with IMU” video (March 2011). The method performs dead reckoning to integrate foot motion and corrects for drift at each foot strike (when the foot touches the ground) to reset error accumulation. The algorithm was part of gait analysis research, estimating foot trajectories in 3D over time. The repo is marked “no...
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  • 19
    Dragonboat

    Dragonboat

    A feature complete and high performance multi-group Raft library in Go

    Dragonboat is a high-performance multi-group Raft consensus library in pure Go. Consensus algorithms such as Raft provides fault tolerance by allowing a system to continue to operate as long as the majority of member servers are available. For example, a Raft shard of 5 servers can make progress even if 2 servers fail. It also appears to clients as a single entity with strong data consistency always provided. All Raft replicas can be used to handle read requests for aggregated read throughput...
    Downloads: 2 This Week
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  • 20
    Neural Network Intelligence

    Neural Network Intelligence

    AutoML toolkit for automate machine learning lifecycle

    ...' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different training environments like Local Machine, Remote Servers, OpenPAI, Kubeflow, FrameworkController on K8S (AKS etc.) DLWorkspace (aka. DLTS) AML (Azure Machine Learning) and other cloud options. NNI provides CommandLine Tool as well as an user friendly WebUI to manage training experiements.
    Downloads: 1 This Week
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  • 21
    Exclusively Dark Image Dataset

    Exclusively Dark Image Dataset

    ExDARK dataset is the largest collection of low-light images

    The Exclusively Dark (ExDARK) dataset is one of the largest curated collections of real-world low-light images designed to support research in computer vision tasks under challenging lighting conditions. It contains 7,363 images captured across ten different low-light scenarios, ranging from extremely dark environments to twilight. Each image is annotated with both image-level labels and object-level bounding boxes for 12 object categories, making it suitable for detection and classification...
    Downloads: 1 This Week
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  • 22
    Algebird

    Algebird

    Abstract Algebra for Scala

    Algebird is Twitter’s Apache‑licensed Scala library providing abstract algebra data structures and algorithms, especially for online/streaming aggregation. It includes Monoid, Approximate, HyperLogLog, CMS, BloomFilter, Min/Max, Averaged Value types, supporting efficient distributed aggregation and approximate analytics.
    Downloads: 1 This Week
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  • 23
    learn2learn

    learn2learn

    A PyTorch Library for Meta-learning Research

    Learn2Learn is a PyTorch-based library focused on meta-learning and few-shot learning research. It provides reusable components and meta-learning algorithms, making it easier to build, train, and evaluate models that can quickly adapt to new tasks with minimal data. Learn2Learn is widely used in research for tasks such as few-shot classification, reinforcement learning, and optimization.
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  • 24
    Armadillo

    Armadillo

    fast C++ library for linear algebra & scientific computing

    * Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...
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    Downloads: 2,444 This Week
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  • 25
    RHash
    RHash (Recursive Hasher) is a console utility for computing and verifying hash sums of files. It supports CRC32, CRC32C, MD4, MD5, SHA1, SHA256, SHA512, SHA3, AICH, ED2K, DC++ TTH, BTIH, Tiger, GOST R 34.11-2012, RIPEMD-160, HAS-160, EDON-R, and Whirlpool.
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    Downloads: 1,177 This Week
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