Showing 184 open source projects for "network data speed"

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  • 1
    sjcl

    sjcl

    Stanford Javascript Crypto Library

    The Stanford Javascript Crypto Library is a project by the Stanford Computer Security Lab to build a secure, powerful, fast, small, easy-to-use, cross-browser library for cryptography in Javascript. SJCL is small but powerful. The minified version of the library is under 6.4KB compressed, and yet it posts impressive speed results. SJCL is secure. It uses the industry-standard AES algorithm at 128, 192 or 256 bits; the SHA256 hash function; the HMAC authentication code; the PBKDF2 password...
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  • 2
    Mixup-CIFAR10

    Mixup-CIFAR10

    mixup: Beyond Empirical Risk Minimization

    mixup-cifar10 is the official PyTorch implementation of “mixup: Beyond Empirical Risk Minimization” (Zhang et al., ICLR 2018), a foundational paper introducing mixup, a simple yet powerful data augmentation technique for training deep neural networks. The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more...
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  • 3

    Library for binary format parsing

    Library for binary format parsing and generation for network

    A quite small library for parsing and generate binary messages, format you nameit. It designed to use for networking protocols e.g. take care about endianless. It's quite easy to use, like printf and scanf. Also it provide an memory care buffer abstraction to make it more easy.
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  • 4
    Zhao

    Zhao

    A compilation of "The Princely Party Relationship Network"

    zhao is a repository that consolidates research, data, and insights related to Zhao, which is likely an individual’s research collection, notes, or curated resources on deep learning, AI, or computational topics (name and content context suggest specialized study). The project may include code examples, experiment results, references to academic papers, mathematical notes, and supporting scripts to explore specific ML methods, benchmarks, or theoretical findings. Because it aggregates...
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  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

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  • 5
    Turbolinks Classic

    Turbolinks Classic

    Classic version of Turbolinks

    Turbolinks Classic is a now-deprecated JavaScript library (largely used in Rails projects) for speeding up navigation by intercepting link clicks and replacing only the <body> and page title instead of reloading the entire page. It avoids recompiling JS and CSS on each navigation, improving perceived performance. Turbolinks makes following links in your web application faster. Instead of letting the browser recompile the JavaScript and CSS between each page change, it keeps the current page...
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  • 6
    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...
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  • 7
    react-native-background-task

    react-native-background-task

    Periodic background tasks for React Native apps, cross-platform

    ...This library allows the scheduling of a single periodic task, which executes when the app is in the background or closed, no more frequently than every 15 minutes. Network, AsyncStorage etc can be used (anything except UI), so perfect for things like a background data sync for offline support.
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  • 8
    Grenade

    Grenade

    Deep Learning in Haskell

    ...To perform back propagation, one can call the eponymous function which takes a network, appropriate input, and target data, and returns the back propagated gradients for the network. The shapes of the gradients are appropriate for each layer and may be trivial for layers like Relu which have no learnable parameters.
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  • 9

    Random Bits Forest

    RBF: a Strong Classifier/Regressor for Big Data

    We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data with large size.
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  • 10
    json4sapnw

    json4sapnw

    Another JSON extension for SAP ABAP

    This is a SAP addon to handle JSON data within SAP ABAP Programs. It comes in the customer exchange namespace /CEX/ and has to be installed as an SAP transport request. The addon supports object oriented JSON methods to process deep structured JSON data. Building JSON data from SAP data objects and parsing JSON data back to SAP data objects are supported. See the WIKI for some examples. Thanks to the SAP community and especially to Rüdiger Plantiko for the basic work...
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  • 11
    Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map) which is one of AI algorithms and useful tool for data mining and discovery knowledge in data (http://knnl.sf.net).
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  • 12

    AirTSP

    Simulated Airline Travel Solution Provider Library

    AirTSP is also named AirTSP (TSP standing for Travel Service Provider). That project aims at providing a clean API and a simple implementation, as a C++ library, of an Airline Schedule Management System. It is intended to be used in simulated environments only: it is not designed to work in the real-world of Airline IT operations. AirTSP/AirTSP makes an extensive use of existing open-source libraries for increased functionality, speed and accuracy. In particular the Boost (C++...
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  • 13
    heatmap.js

    heatmap.js

    JavaScript Library for HTML5 canvas based heatmaps

    heatmap.js is a lightweight, easy to use JavaScript library to help you visualize your three dimensional data! Use it to add new value to your project, build a business based on it, study and visualize user behaviour, or why not build something completely crazy/awesome? Whether you want to have an aggregated overview of your users behaviour, or look at thousands of events distributed on a map, heatmap.js has all your heatmap visualization needs covered! Because it is the most advanced heat...
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  • 14
    webiness

    webiness

    Small PHP MVC Framework

    Webiness is lightweight PHP framework based on MVC design pattern. Webiness is free and open source project available under MIT licence. and, in some way, It's inspirated by Yii Framework but it has much less features then Yii. It try to keep good balance between number of features, usability, speed, security options and easy of development.
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  • 15
    Linode Longview

    Linode Longview

    Linode Longview Agent

    Linode Longview is a system-level statistics collection and graphing service powered by an open-source agent that can be installed on any Linux system. It collects system statistics and sends them to Linode, where the data is stored and presented in meaningful ways.
    Downloads: 2 This Week
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  • 16
    Webiness

    Webiness

    Lightweight PHP framework

    Webiness is lightweight PHP framework based on MVC design pattern. It has a very straightforward installation process that requires only a minimal configuration, so it can save you a lot of hassle. Also, it canbe an ideal choice if you want to avoid PHP version conflict, as it works on all PHP versions from 5.3. Webiness extensively uses the lazy loading technique so, in most cases, it is faster then other frameworks. It can be used for rapid prototyping of web applications. Webiness is...
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  • 17
    Feed-forward neural network for python
    ffnet is a fast and easy-to-use feed-forward neural network training solution for python. Many nice features are implemented: arbitrary network connectivity, automatic data normalization, very efficient training tools, network export to fortran code. Now ffnet has also a GUI called ffnetui.
    Downloads: 1 This Week
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  • 18
    QDAC3.0

    QDAC3.0

    QDAC 3.0 is a VCL & FMX data access component

    [IMPORTANT NOTICE] This project is moved to my self website.The new SVN urls : svn://www.qdac.cc/QDAC3 GIT url is: git://www.qdac.cc/QDAC3.git Please check out with the new urls. QDAC 3.0 is a new version of Quick Data Access Component.Compare with version 2,the new version is base on XE6 and support all OS with XE6:Win32/Win64/Mac OSX/iOS/Andriod. QDAC 3.0 Include follow sub components: QXml/QJson/QLog/QWorker/QSort/QExp/QDB etc. QDAC now is in progress. Follow is from QDAC...
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  • 19

    nmea4j

    NMEA libary for java (protocol of GPS devices)

    The aim of this project is to create a full utility suite for NMEA protocols (best known from GPS devices). First goal is a full implemenation of the NMEA 0183 protocol 3.0 (without proprietary extensions). The library provides parsers for NMEA sentences, gpsd-like network daemons and data generators for simulation and testing. This allows advanced sensor handling from cellphones/tablets/laptops with GPS up to vehicles/ships with NMEA sensors on board.
    Downloads: 1 This Week
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  • 20
    MythCore

    MythCore

    Myth Framework Core Libraries (part of MythSDP)

    MythCore is a PHP framework that allows the developer to use a C# .NET like object oriented programming approach. It provides the essential classes that the MythSDP platform and the MythFramework builds upon. The goal is to create a library that enables the programmer to use a fully object oriented approach that has the "feel" of .NET and Java programming. Our main goal is ease of use and rapid application development. However, performance and small-footprint are some of the main design...
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  • 21

    OFsX

    Oracle File system Extension

    Problem: How can Oracle PL/SQL applications read, write, move or copy arbitrarily large files to or from arbitrary file system locations? Solution: This utility (OFsX) uses PL/SQL, Oracle AQ & Spring Integration to handle reading, writing, copying, moving & deleting of files from Oracle PL/SQL in a general way. Summary: PL/SQL is an excellent language for developing data-intensive, enterprise applications. However, it can be difficult for PL/SQL applications to interact with a file...
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  • 22
    Jollyday
    This API calculates the holidays for a given year, country and region or lets you provide your own holiday rules. Uses XML files for storing the holiday data. Uses JODA date/time API. Supports Europe, North/South America, Australia, Russia, India ...
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  • 23

    libVMR

    VMR - machine learning library

    libVMR is a class library written in Java which implements code generator for group method of data handling - GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR).
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  • 24
    lib_data_io is a set of PHP libraries designed to easily move complex sets of data between PHP array data structures and a variety of sources and destinations including JSON, XML, ICAL, MySQL, HTML, Trac WIKI, text, LDIF, and plot images.
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  • 25
    ConvNetJS

    ConvNetJS

    Deep learning in Javascript to train convolutional neural networks

    ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and...
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