Search Results for "data collection algorithm"
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Showing 46 open source projects for "data collection algorithm"
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Spring Data REST
Simplifies building hypermedia-driven REST web services
Spring Data REST is part of the umbrella Spring Data project and makes it easy to build hypermedia-driven REST web services on top of Spring Data repositories. Spring Data REST builds on top of Spring Data repositories, analyzes your application’s domain model and exposes hypermedia-driven HTTP resources for aggregates contained in the model. -
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Spring Data Redis
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across... -
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IGListKit
A data-driven UICollectionView framework for building fast lists
IGListKit uses an algorithm adapted from a paper titled A technique for isolating differences between files by Paul Heckel. This algorithm uses a technique known as the longest common subsequence to find a minimal diff between collections in linear time O(n). It finds all inserts, deletes, updates, and moves between arrays of data. A working range is a range of section controllers who aren’t yet visible, but are near the screen. -
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Corcel
Use WordPress backend with Laravel or any PHP application
A collection of Model classes that allows you to get data directly from a WordPress database. Corcel is a collection of PHP classes built on top of Eloquent ORM (from Laravel framework), that provides a fluent interface to connect and get data directly from a WordPress database. You can use WordPress as the backend (administration panel) or CMS, for inserting posts, custom types, etc, and any other PHP app in the other side querying those data (as a Model layer). ... -
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Sensu Go
Simple. Scalable. Multi-cloud monitoring
Sensu is an open source monitoring tool for ephemeral infrastructure and distributed applications. It is an agent-based monitoring system with built-in auto-discovery, making it very well-suited for cloud environments. Sensu uses service checks to monitor service health and collect telemetry data. It also has a number of well-defined APIs for configuration, external data input, and to provide access to Sensu's data. Sensu is extremely extensible and is commonly referred to as "the monitoring... -
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OpenWPM
A web privacy measurement framework
OpenWPM is a web privacy measurement framework that makes it easy to collect data for privacy studies on a scale of thousands to millions of websites. OpenWPM is built on top of Firefox, with automation provided by Selenium. It includes several hooks for data collection. Check out the instrumentation section below for more details. OpenWPM is tested on Ubuntu 18.04 via TravisCI and is commonly used via the docker container that this repo builds, which is also based on Ubuntu. ... -
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wagmi
React Hooks for Ethereum
wagmi is a collection of React Hooks containing everything you need to start working with Ethereum. wagmi makes it easy to "Connect Wallet," display ENS and balance information, sign messages, interact with contracts, and much more, all with caching, request deduplication, and persistence. We create a wagmi Client and pass it to the WagmiConfig React Context. The client is set up to use the ethers Default Provider and automatically connect to previously connected wallets. Next, we use the... -
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Web Experience Toolkit
Open source code library for building innovative websites
Web Experience Toolkit (WET): Open source code library for building innovative websites that are accessible, usable, interoperable, mobile-friendly and multilingual. This collaborative open source project is led by the Government of Canada. A collection of flexible and themeable templates and reusable components. A collaborative open source project led by the Government of Canada. HTML5-first approach (leveraging native HTML5 support and filling support gaps with “polyfills”) Supporting a wide variety of browsers (IE, Firefox, Chrome, Safari, Opera) Building support for HTML data (RDFa 1.1 Lite, Schema.org) Adapts to different screen sizes and device capabilities. ... -
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URQL
The highly customizable and versatile GraphQL client
...It's built to be both easy to use for newcomers to GraphQL, and extensible, to grow to support dynamic single-app applications and highly customized GraphQL infrastructure. In short, urql prioritizes usability and adaptability. As you're adopting GraphQL, urql becomes your primary data layer and can handle content-heavy pages through "Document Caching" as well as dynamic and data-heavy apps through "Normalized Caching". urql can be understood as a collection of connected parts and packages. When we only need to install a single package for our framework of choice. -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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miso
A tasty Haskell front-end framework
Miso is a small, production-ready, "isomorphic" Haskell front-end framework for quickly building highly interactive single-page web applications. It features a virtual-dom, recursive diffing / patching algorithm, attribute and property normalization, event delegation, event batching, SVG, Server-sent events, Websockets, type-safe servant-style routing and an extensible Subscription-based subsystem. Inspired by Elm, Redux and Bobril. Miso is pure by default, but side effects (like XHR) can be introduced into the system via the Effect data type. ... -
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Fuzzy machine learning framework
A library and a GUI front-end for fuzzy machine learning
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use. -
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stkpp
C++ Statistical ToolKit
...The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites. -
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Nano JSON
Lightweight, facility, high performance golang based game server
Nano is an easy-to-use, fast, lightweight game server networking library for Go. It provides a core network architecture and a series of tools and libraries that can help developers eliminate boring duplicate work for common underlying logic. The goal of nano is to improve development efficiency by eliminating the need to spend time on repetitious network-related programming. Nano was designed for server-side applications like real-time games, social games, mobile games, etc of all sizes. In... -
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OpenCensus Libraries for Go
A stats collection and distributed tracing framework
OpenCensus and OpenTracing have merged to form OpenTelemetry, which serves as the next major version of OpenCensus and OpenTracing. OpenCensus is a set of libraries for various languages that allow you to collect application metrics and distributed traces, then transfer the data to a backend of your choice in real time. This data can be analyzed by developers and admins to understand the health of the application and debug problems. -
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DifferenceKit
A fast and flexible O(n) difference algorithm framework
A fast and flexible O(n) difference algorithm framework for Swift collection. The algorithm is optimized based on the Paul Heckel’s algorithm. This is a diffing algorithm developed for Carbon, works stand alone. The algorithm optimized based on the Paul Heckel’s algorithm. See also his paper A technique for isolating differences between files released in 1978. It allows all kind of diffs to be calculated in linear time O(n). ... -
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Spring Boot Demo
A project for in-depth study and practical application of Spring Boot
This repository is a hands-on, “deep learning by doing” collection of Spring Boot demos that you can run and study module by module. It currently includes 66 planned integrations (with 55 completed) spanning monitoring, logging, templating, data access, caching, messaging, scheduling, search, security, and more. The master branch targets Spring Boot 2.1.0.RELEASE with a parent POM that centralizes common dependency versions; the older v-1.5.x branch is frozen and its contents are being migrated to master. ... -
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Blend_My_NFTs
Easily generate thousands of 3D models, images, and animation NFTs
Blend_My_NFTs is an open-source, free-to-use Blender add-on that enables you to easily generate thousands of 3D Models, Animations, and Images. This add-on's primary purpose is to aid in the creation of large generative 3D NFT collections. It is the first and easiest 3D NFT generator. Blend_My_NFTs was initially developed to create Cozy Place, an NFT collection by This Cozy Studio Inc. Blend_My_NFTs works with Blender 3.2.2 on Windows 10 or macOS Big Sur 11.6. Linux is supported, however we... -
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or... -
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go-gin-api
The API framework based on Gin's modular design
The API framework based on Gin's modular design encapsulates common functions, is easy to use, and is dedicated to rapid business development. For example, it supports cors cross-domain, jwt signature verification, zap log collection, panic exception capture, trace link tracking, prometheus monitoring indicators, swagger document generation, viper configuration file parsing, gorm database components, gormgen code generation tools, graphql query language, errno uniformly defines error codes,... -
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CardParts
A reactive, card-based UI framework built on UIKit for iOS developers
CardParts is the second-generation Card UI framework for the iOS Mint application. This version includes many updates to the original card part framework, including improved MVVM, data binding (via RxSwift), use of stack views and self-sizing collection views instead of sizing cells, 100% swift and much more. The result is a much simpler, easier-to-use, more powerful, and easier-to-maintain framework. This framework is currently used by the iOS Mint application and the iOS Turbo application. There are two major parts to the card parts framework. ... -
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Bot Framework Solutions
Set of templates and solutions to build advanced conversational apps
...Build your own branded assistant tailored to your brand, personalized to your users, made available across a broad range of canvases and devices, and in full ownership of your own data. Extend your assistant with reusable conversational Skills to add common functionality such as collection of reusable conversational skills enabling you to add functionality to a Virtual Assistant. Try the sample Skills available like Calendar, Email, To Do, Point of Interest, and more. -
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Chatto
A lightweight framework to build chat applications, made in Swift
Chatto is a Swift lightweight framework to build chat applications. It's been designed to be extensible and performant. Along with Chatto there is ChattoAdditions, a companion framework which includes cells for messages and an extensible input component. You can find more details about how it was implemented in our blog. Chatto is a Swift framework to ease the development of chat applications. At the UI level, it takes care of managing the UICollectionView where the messages are displayed... -
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MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks,... -
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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. -
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Elasticquent
Maps Laravel Eloquent models to Elasticsearch types
Elasticsearch for Eloquent Laravel Models. Elasticquent makes working with Elasticsearch and Eloquent models easier by mapping them to Elasticsearch types. You can use the default settings or define how Elasticsearch should index and search your Eloquent models right in the model. Elasticquent uses the official Elasticsearch PHP API. To get started, you should have a basic knowledge of how Elasticsearch works (indexes, types, mappings, etc). When using a database, Eloquent models are...
