Showing 82 open source projects for "parallel"

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  • 1
    usbmuxd

    usbmuxd

    A socket daemon to multiplex connections from and to iOS devices

    A socket daemon to multiplex connections from and to iOS devices. usbmuxd stands for "USB multiplexing daemon". This daemon is in charge of multiplexing connections over USB to an iOS device. The daemon is automatically started by udev or systemd depending on what you have configured upon hotplug of an iOS device and exits if the last device was unplugged. When usbmuxd is running it provides a socket interface at /var/run/usbmuxd that is designed to be compatible with the socket interface...
    Downloads: 86 This Week
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  • 2
    ResNeXt

    ResNeXt

    Implementation of a classification framework

    ResNeXt is a deep neural network architecture for image classification built on the idea of aggregated residual transformations. Instead of simply increasing depth or width, ResNeXt introduces a new dimension called cardinality, which refers to the number of parallel transformation paths (i.e. the number of “branches”) that are aggregated together. Each branch is a small transformation (e.g. bottleneck block) and their outputs are summed—this enables richer representation without excessive parameter blowup. The design is modular and homogeneous, making it relatively easy to scale (by tuning cardinality, width, depth) and adopt in existing residual frameworks. ...
    Downloads: 0 This Week
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  • 3
    Happy Java Library

    Happy Java Library

    Multilock, Collections, Controllers, Delegates, Generators, Streams

    Helps to develop and test event-based multi-threaded Java application. Because of method called as API-Evolution the Happy Java Library is fully downward compatible. The library contains following functionality: MultiLock, Parallel loops, Collections, Controllers, Generators, Delegates, Streams.
    Downloads: 0 This Week
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  • 4
    RecNN

    RecNN

    Reinforced Recommendation toolkit built around pytorch 1.7

    This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like.
    Downloads: 0 This Week
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  • 5
    Kotlin Coroutines for Retrofit

    Kotlin Coroutines for Retrofit

    Kotlin Coroutines await() extension for Retrofit Call

    This is a small library that provides the Kotlin Coroutines suspending extension Call.await() for Retrofit 2. Based on kotlinx.coroutines implementation. Kotlin 1.2 and experimental coroutines are not supported anymore, but you can use version 0.13.0 for old projects.
    Downloads: 3 This Week
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  • 6
    Quasar

    Quasar

    Fibers, channels and actors for the JVM

    Quasar is a library that provides high-performance lightweight threads, Go-like channels, Erlang-like actors, and other asynchronous programming tools for Java and Kotlin. Quasar is developed by Parallel Universe and released as free software, dual-licensed under the Eclipse Public License and the GNU Lesser General Public License. Quasar fibers rely on bytecode instrumentation. This can be done at classloading time via a Java Agent, or at compilation time with an Ant task. Quasar’s lightweight thread implementation relies on bytecode instrumentation. ...
    Downloads: 0 This Week
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  • 7
    Phaser 3 Webpack Loader

    Phaser 3 Webpack Loader

    Asset loader for Phaser + Webpack.

    Phaser Webpack Loader is a plugin that streamlines the process of loading game assets in Phaser projects using Webpack. It facilitates parallel asset loading and integrates with Webpack's module system for efficient game development.
    Downloads: 3 This Week
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  • 8
    Tiramisu

    Tiramisu

    Polyhedral compiler for expressing fast and portable data algorithms

    Tiramisu is a compiler for expressing fast and portable data parallel computations. It provides a simple C++ API for expressing algorithms (Tiramisu expressions) and how these algorithms should be optimized by the compiler. Tiramisu can be used in areas such as linear and tensor algebra, deep learning, image processing, stencil computations and machine learning. The Tiramisu compiler is based on the polyhedral model thus it can express a large set of loop optimizations and data layout transformations. ...
    Downloads: 0 This Week
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  • 9
    Incanter

    Incanter

    Clojure-based, R-like statistical computing and graphics environment

    Incanter is a Clojure-based, R-like statistical computing and visualization library running on the JVM. It integrates core numerical libraries like Parallel Colt and JFreeChart to deliver data manipulation, modeling, statistical tests, and charting in a REPL-friendly environment. Start by visiting the Incanter website for an overview, check out the documentation page for a listing of HOW-TOs and examples, and then download either an Incanter executable or a pre-built version of the latest build of Incanter, which includes all the necessary dependencies, and unpack the file (if you would like to build it from source, read Building Incanter). ...
    Downloads: 0 This Week
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  • AI-First Supply Chain Management Icon
    AI-First Supply Chain Management

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  • 10
    RxJavaSamples

    RxJavaSamples

    Examples of some of the most common usages of RxJava 2 and Retrofit

    Examples of some of the most common uses of RxJava 2 with Retrofit. For the interface that needs to request the token first, then use flatMap() to connect the token request and the actual data request coherently, without having to write a nested Callback structure. For non-disposable tokens (tokens that can be reused), after obtaining the token, save it for repeated use, and use retryWhen() to automatically re-acquire the token when it expires, making the process of token acquisition...
    Downloads: 0 This Week
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  • 11
    Grenade

    Grenade

    Deep Learning in Haskell

    Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only...
    Downloads: 0 This Week
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  • 12
    Swift AI

    Swift AI

    The Swift machine learning library

    ...Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the usage of Swift AI. Each resides in their own repository and can be built with little or no configuration. Each module now contains its own documentation. We recommend that you read the docs carefully for detailed instructions on using the various components of Swift AI. ...
    Downloads: 0 This Week
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  • 13

    JavaMutex

    Provides 100% pure Java mutual exclusion.

    Freely redistributable open source 100% pure Java for mutual exclusion. Read-write and read-only reentrant lock, condition variable, atomic wraps for Boolean, Integer, Long, and Reference. Cell pool with optional locking, object exchanger, Intersect.
    Downloads: 0 This Week
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  • 14
    PyCNN

    PyCNN

    Image Processing with Cellular Neural Networks in Python

    Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high frame-rate (>10,000 frame/s) processing unachievable by digital processors.
    Downloads: 0 This Week
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  • 15
    Robot Framework FTP Library

    Robot Framework FTP Library

    FTP client for Robot Framework

    SOURCE CODE MOVED TO https://github.com/kowalpy/Robot-Framework-FTP-Library . NEW RELEASES WILL APPEAR ONLY AT GITHUB AND PYPI. This Python library makes it possible to test or use FTP server using Robot Framework keywords. Together with the library, there are also available project example and keywords documentation created by libdoc. This sourceforge webpage is linked from http://robotframework.org/#test-libraries as external library so it can be considered as the official Robot...
    Downloads: 0 This Week
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  • 16

    instantFSM

    C++ inline state machine library

    instantFSM is a header-only C++ state machine library. Its goal is to make state machine declaration and use easy enough that it can be integrated into your projects painlessly. Have a look atp the wiki where you will find a tutorial, samples, and a cheatsheet to get accustomed with instantFSM. The only instantFSM header file is downloadable from the files section or you can check it out from the git repository.
    Downloads: 0 This Week
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  • 17

    STMX

    High-performance transactional memory for Common Lisp

    ...Instead of traditional lock-based programming, one programs with atomic memory transactions: if a memory transaction returns normally it gets committed, if instead it signals an error (Lisp slang for throwing an exception) it is rolled back. Memory transactions can safely run in parallel in different threads, are re-executed from the beginning in case of conflicts or if consistent reads cannot be guaranteed, and effects of a transaction are not visible from other threads until it commits. STMX gives freedom from deadlocks, automatic rollback on failure, and it aims at resolving the tension between granularity and concurrency.
    Downloads: 0 This Week
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  • 18
    LABjs

    LABjs

    Loading And Blocking JavaScript

    LABjs is a lightweight JavaScript loader focused on speeding up page performance by controlling how and when scripts download and execute. It provides an expressive API to load multiple files in parallel while guaranteeing execution order, so dependent scripts don’t break. By decoupling fetch from execute, it avoids the blocking behavior of traditional tags and helps reduce perceived load time. LABjs embraces a “load groups, then wait” model that makes dependency management clear without a separate build step. It’s designed to work across a wide range of browsers, including older ones, which is why it relies on robust feature detection and time-tested loading techniques. ...
    Downloads: 0 This Week
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  • 19

    Fast Matrix for Java

    General purpose matrix utilities for Java in Parallel Computing

    Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors.
    Downloads: 0 This Week
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  • 20

    Java Parallel Loops

    Parallel loops in Java

    A library that makes writing parallel (multithreaded) for loops in Java 5+ easier. It also supports parallel processing of lists and arrays, asynchronous invocation, progress and completion notification, computation interruption and results merging.
    Downloads: 0 This Week
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  • 21

    eClog

    A PHP log class

    eClog, a PHP log class, offer ability to log to file (default), console, database, mail, error_log and syslog. Supports multiple parallel handlers and ability to trigger PHP errors. There are ongoing development on stomp, mqseries and snmp handlers.
    Downloads: 1 This Week
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  • 22
    Ash C++ Template Library (AshTL)

    Ash C++ Template Library (AshTL)

    Hashing and spatial concurrency library.

    AshTL aims to provide a complete framework for dealing with spatial data in an efficient, parallel manner. As such, we primarily provide container classes and data types relating to 2D and 3D coordinate grids. AshTL is currently in alpha development (some features may not work correctly, and interfaces are likely to change). While in alpha and beta development, AshTL is licensed under AGPL v3+. Stable releases will include an exception so that AshTL itself will always be AGPL, but will not force code that uses it to be.
    Downloads: 0 This Week
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  • 23

    FeedForwardNeuralNetworkC++

    Feedforward Neural Network writen in C++

    Feedforward Neural Network writen in C++ serial and parallelized in TBB library. Also using Autotune library for best parallel performance.
    Downloads: 0 This Week
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  • 24
    A Message-Passing Interface (MPI) library, allowing a Java application to efficiently run on a distributed, parallel, and high performance architecture. Developed within HPJava project (www.hpjava.org), and maintained by LarKC project (www.larkc.eu)
    Downloads: 0 This Week
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  • 25
    This is an ANSI c compliant library for state machine use. It uses very fast algorithms and includes many features: nested state, history state, parallel state mechanisms and debug capabilities.
    Downloads: 0 This Week
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