Search Results for "structure" - Page 20
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Showing 968 open source projects for "structure"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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widdershins
OpenAPI / Swagger, AsyncAPI & Semoasa definitions to (re)Slate
...Widdershins converts this description into markdown suitable for use by a renderer, such as Slate, ReSlate, Shins (deprecated) or html suitable for use with ReSpec. You can also use the environment file to group OAS/Swagger tagged paths together to create a more elegant table of contents, and overall page structure. If the language name differs between the markdown name required to syntax highlight and the httpsnippet required target, both can be specified in the form markdown--target. Widdershins supports the x-code-samples vendor-extension to completely customize your documentation. -
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babel-eslint
A wrapper for Babel's parser used for ESLint
...When using this plugin, your code is parsed by Babel's parser (using the configuration specified in your Babel configuration file) and the resulting AST is transformed into an ESTree-compliant structure that ESLint can understand. -
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Tony
An Elegant WordPress Theme Powered by Vue.js 2
An Elegant WordPress Theme Based on Vue.js. Beautiful and elegant design, infinite loading, post quick-view. Post embedding, multiple post list styles, multiple page templates. Back-to-top button, better searching experience, automatic post index. Automatic Dark Mode, reading progress bar, markdown auto rendering. Built using Webpack & Scss, archive page, support Gutenberg editor. -
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AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm
AhoCorasickDoubleArrayTrie is a Java implementation of the Aho–Corasick multi-pattern matching algorithm that is optimized using a Double-Array Trie data structure. It is designed for fast keyword scanning across large texts, where you want to search for many patterns simultaneously and efficiently. The core idea is to build an automaton from a dictionary of patterns, then stream through input text to emit matches with minimal overhead. By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. ... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Design Patterns Written in Unity3D
All Gang of Four Design Patterns written in Unity C#
...It demonstrates how common patterns such as singleton, observer, factory, and state can be adapted to Unity’s architecture. The repository includes practical examples and code snippets that show how to structure game systems for scalability and maintainability. It emphasizes clean code practices and modular design, helping developers build more robust and reusable components. The project also explains the reasoning behind each pattern, making it educational as well as practical. By focusing on Unity-specific use cases, it addresses challenges unique to game development workflows. ... -
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TreasureBox
Organizes and searches user-defined items and images in a MySQL DB.
...By providing a zoom and rotate features I was able to browse my books or CDs on my shelves anywhere in the house. The more I used the program the more features I wanted to add. The program is fairly generic and can be used for a variety of collections within a tree structure. Digital images are easy to take and cost very little to store. Treasure Box can help you organize your treasures and help you find them when you need them. -
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CrypTen
A framework for Privacy Preserving Machine Learning
...Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. Its design mirrors PyTorch’s modular and library-based structure, enabling flexible experimentation, debugging, and model development. The framework supports both encryption and decryption of tensors and operations such as addition and multiplication over encrypted values. Although not yet production-ready, CrypTen focuses on advancing real-world secure ML applications, such as training and inference over private datasets, without exposing sensitive data. -
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puresql
ES6/7 ready SQL library for node.js inspired by Clojure's yesql
...It supports MySQL, MariaDB, PostgreSQL, MS SQL Server, and SQLite from the box. puresql takes a path to a .sql file containing query definitions and turns them into promisified functions. You can then call them and either pass one of the provided adapters (mySQL), or your own adapter (see one of the existing ones on the structure). -
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React-Virgin
The react-native UI Kit you've been looking for
React-Virgin is a React Native UI kit designed to provide developers with a ready-to-use boilerplate for building mobile applications quickly and efficiently. It includes a foundational project structure along with a set of prebuilt UI components that cover common mobile interface needs such as buttons, lists, headers, loaders, and chat elements. The library is intended to accelerate development by eliminating the need to set up navigation, layout systems, and basic UI elements from scratch. It integrates tools like react-navigation and includes both horizontal and vertical list components, making it easier to create dynamic and scrollable mobile interfaces. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Face-Detection-JavaScript
Small browser-based computer vision demo
Face-Detection-JavaScript is a small browser-based computer vision demo that uses JavaScript and face-api.js to analyze live webcam video. It loads face detection, facial landmark, face recognition, and facial expression models from a local models folder. Once the webcam stream starts, the app creates a canvas overlay and draws detection results directly over the video feed. It can identify face boxes, map facial landmark points, and display detected expressions in near real time. The... -
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Blendid
Blend of gulp tasks combined into a configurable asset pipeline
Blendid is a delicious stand-alone blend of tasks and build tools poured together as a full-featured modern asset pipeline. It can be used as-is as a static site builder, or can be configured and integrated into your own development environment and site or app structure. The provided command will create default src and config files in your directory and start compiling and live-updating files! Try editing them and watch your browser auto-update! File structure is configured through a config/path-config.json file. This file is JSON so that other platforms like Ruby or PHP can easily read it in and use it to build asset path helpers for replacing hashed filenames in production. ... -
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PMCGPU
Parallel simulators for Membrane Computing on the GPU
Membrane Computing is a new research area (within Natural Computing) that aims to provide computing devices abstracted from the functioning and structure of living cells. These devices are called P systems. The objective of this project (PMCGPU) is to bring together all the researchers working on the development of parallel simulators for P systems, specially those using the GPU (e.g. CUDA, OpenCL, etc). Other parallel platforms are also welcome (multicore and manycore, FPGAs, etc). ... -
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Gaea Editor
Design websites in your browser
...It supports rich text formatting, media embedding, and dynamic content generation, making it suitable for content management systems and applications requiring advanced editing capabilities. The architecture is designed to separate content structure from presentation, enabling better maintainability and scalability. It likely includes APIs for integrating with backend systems and storing content in structured formats. Overall, gaea-editor serves as a powerful foundation for building customizable editing experiences on the web. -
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webpack.js.org
Repository for webpack documentation and more!
...When webpack processes your application, it internally builds a dependency graph from one or more entry points and then combines every module your project needs into one or more bundles, which are static assets to serve your content from. Now that we've covered much of the backlog of missing documentation, we are starting to heavily review each section of the site's content to sort and structure it appropriately. Since version 4.0.0, webpack does not require a configuration file to bundle your project. Nevertheless, it is incredibly configurable to better fit your needs. This document is intended to give a high-level overview of these concepts, while providing links to detailed concept-specific use cases. An entry point indicates which module webpack should use to begin building out its internal dependency graph. -
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Source Map Support
Adds source map support to node.js (for stack traces)
Source Map Support is a Node.js module that enhances stack traces for transpiled or bundled JavaScript by resolving them back to the original source files using source maps. When code is compiled from TypeScript, CoffeeScript, Babel, or bundlers like Webpack, errors normally point to the generated code; this module intercepts V8’s stack trace API and remaps paths and line numbers to their original locations. The output closely mimics Node’s native stack format, so it feels like standard... -
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Lile
Easily generate gRPC services in Go
Lile is an application generator (think create-react-app, rails new or django start project) for gRPC services in Go and a set of tools/libraries. The primary focus of Lile is to remove the boilerplate when creating new services by creating a basic structure, test examples, Dockerfile, Makefile etc. Lile comes with a 'generator' to quickly generate new Lile services. Lile follows Go's conventions around $GOPATH and is smart enough to parse your new service's name to create the service in the right place. Lile creates gRPC and therefore uses protocol buffers as the language for describing the service methods, requests and responses. ... -
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JuliaFEM.jl
The JuliaFEM software library is a framework
The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed... -
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List
An immutable list with unmatched performance and functional API
An immutable list with unmatched performance and a comprehensive functional API. List is a purely functional alternative to arrays. It is an implementation of a fast persistent sequence data structure. Compared to JavaScript Array List has three major benefits. List is immutable. This makes it safer and better suited for functional programming. It doesn't tempt you with an imperative API and accidental mutations won't be a source of bugs. Since List doesn't allow mutations it can be heavily optimized for pure operations. This makes List much faster for functional programming than arrays. ... -
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Ness PHP
A php framework with zero configuration.
Website: https://nessphp.github.io GitHub: https://github.com/nessphp Documentation: https://nessphp.github.io/docs/index.html Donate: https://paypal.me/sinansalichasan Welcome to Ness PHP Framework. Do you need a web framework with minimized training effort? Ness PHP offers you a model-view-controller based environment for coding faster, safer and stronger web applications with (nearly) zero configuration. Get rid of mess and focus the main logic of your project Ness... -
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Nodejs Expressjs MongoDB API Project
A boilerplate for REST API Development with Node.js, Express, etc.
...Very useful to building RESTful web APIs for your front-end platforms like Android, iOS or JavaScript frameworks (Angular, Reactjs, etc). This project will run on NodeJs using MongoDB as a database. I tried to maintain the code structure easily as any beginner can also adopt the flow and start building an API. The project is open for suggestions, Bug reports and pull requests. Basic Authentication (Register/Login with hashed password). Account confirmation with 4 (Changeable) digit OTP. Email helper ready just import and use. JWT Tokens, make requests with a token after login with Authorization header with value Bearer yourToken where yourToken will be returned in Login response. ... -
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ObjectBuilder2
C++ CASE tool, full life cycle code generator
ObjectBuilder is a C++ code generation CASE tool (CASE, code generation, refactoring, documentation generation). It lets you create, manipulate and navigate classes, class relations, class members and class methods at a high level of abstraction. ObjectBuilder dramatically simplify work with C++ project architecture. I use it and think that tree OO interface targeted to C++ more fast and power than UML class diagrams. ObjectBuilder perfectly organize C++ header files with any level of... -
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yapydata
Lower-Layer unified data - JSON, XML, YAML + INI, CFG, properties
The yapydata - Yet Another Python Data - provides a unified interface for the access to various data syntaxes. Therefore it encapsulates the libraries by offering a common API with the canonical internal data as JSON compatible Python in-memory structure. The application is foreseen in particular for the lower layer of the software stack including setup-tools. Thus it uses standard libraries only whenever possible. The initial supported DDLs are: * JSON, XML, YAML and the formats * INI, CFG, .properties The yapydata in particular supports the advanced access to data entries by mapping the dotted-OID notation onto mixed in-memory data types, optional including non-conformant tyeps such as tuple and set. -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with both RGB and optical flow input streams. The models have achieved state-of-the-art results on benchmark datasets such as UCF101 and HMDB51, and also won first place in the CVPR 2017 Charades Challenge. ... -
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Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
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nlp_chinese_corpus
Large Scale Chinese Corpus for NLP
...The repository gathers several major datasets, including Chinese Wikipedia entries, news articles, encyclopedia-style question answering data, community question answering data, and Chinese-English translation sentence pairs. Each dataset includes descriptions, download links, structure notes, and examples to help users understand how the data is formatted. The corpora can support tasks such as language model pretraining, word vector training, question answering, title generation, keyword generation, translation, and sentence representation learning. Overall, it is a practical resource hub for building or testing Chinese NLP models with larger and more varied datasets.
