Search Results for "structure" - Page 8
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Showing 300 open source projects for "structure"
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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WTF Dial
WTF Dial is an example web application written in Go
...The app lets team members report how bad or chaotic things currently feel on a shared percentage dial. Beyond the playful concept, the repository is mainly intended as a learning resource for building full Go applications. It demonstrates clean application structure, domain-focused types, multiple storage implementations, HTTP packages, command packages, and documented design decisions. The code is intentionally explained in detail so readers can study architecture rather than only run the app. It is especially useful for Go developers who want a concrete reference for project layout, interfaces, services, and production-style organization. -
3
AndroidOfferKiller
Help you get a better offer
AndroidOfferKiller is a curated collection of Android interview resources aimed at helping developers secure stronger job offers. It brings together notes and materials across topics such as Java and JVM basics, Android fundamentals, design patterns, data structures and algorithms, and LeetCode-style problem solutions. The repository also links to deep-dive articles on performance and common pitfalls, for example RecyclerView stutter and optimization strategies, making it a practical study... -
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Phaser 3
This repository contains the code necessary to start making a game
The Phaser 3 TypeScript Starter Kit is a boilerplate project that provides a structured foundation for developing Phaser 3 games using TypeScript. It includes essential configurations and examples to help developers get started quickly. -
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AndroidStandardDevelop
Best practices in Android develop(final)
AndroidStandardDevelop is a comprehensive set of Android development guidelines created to standardize how teams write, structure, and maintain Android projects. It focuses on improving readability, maintainability, and the efficiency of code reviews by defining clear conventions for naming, project structure, and coding style. The document covers many aspects of Android projects, including Android Studio configuration, code style, resource file organization, version management, use of third-party libraries, comments, and testing practices. ... -
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Webpack library starter
Webpack based boilerplate for producing libraries
...The project is useful for small utilities, shared browser libraries, and packages that need a predictable publishing foundation. It is best viewed as a practical starting template rather than a full framework, giving developers structure while leaving room for customization. -
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BeaEngine 5
BeaEngine disasm project
...It includes standard instructions set and instructions set from FPU, MMX, SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, VMX, CLMUL, AES, MPX, AVX, AVX2, AVX512 (VEX & EVEX prefixes), CET, BMI1, BMI2, SGX, UINTR, KL, TDX and AMX extensions. If you want to analyze malicious codes and more generally obfuscated codes, BeaEngine sends back a complex structure that describes precisely the analyzed instructions. You can use it in C/C++ (usable and compilable with Visual Studio, GCC, MinGW, DigitalMars, BorlandC, WatcomC, SunForte, Pelles C, LCC), in assembler (usable with masm32 and masm64, nasm, fasm, GoAsm) in C#, in Python3, in Delphi, in PureBasic and in WinDev. You can use it in user mode and kernel mode. -
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Complete-React-Tutorial
All course files for the Complete React Tutorial
Complete-React-Tutorial is a repository of course files for The Net Ninja’s Complete React Tutorial on YouTube. It is organized around lesson branches, so learners can select the branch that matches the video they are following. This makes it easier to compare starting code, lesson progress, and final examples without manually recreating every file. The project is not a standalone React framework or library, but a companion codebase for learning React step by step. It is useful for beginners... -
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CyC2018.github.io
Personal knowledge site built with GitHub Pages
...The presentation emphasizes succinct explanations paired with diagrams, tables, or code snippets to speed recall. Because the site is generated from a repository, it benefits from issue tracking, pull requests, and version history, making it easy to update and maintain. The structure encourages incremental learning: you can dip into a topic, follow internal links, and return later with a clear sense of progress. It doubles as both a study guide for learners and a quick reference for practitioners revisiting fundamentals. -
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SentEval
A python tool for evaluating the quality of sentence embeddings
...It defines a simple interface—provide an encoder function from sentences to vectors—and then runs consistent training/evaluation loops for tasks like sentiment, entailment, paraphrase, and semantic textual similarity. The suite also contains linguistic probing tasks that illuminate what properties embeddings capture, such as tense, word order, or syntactic structure. Datasets are wrapped with unified preprocessing and metrics so results are comparable across papers and implementations. Because the interface is minimal, researchers can plug in encoders from any framework or language model and obtain a broad evaluation with little glue code. SentEval helped establish common baselines and reporting conventions in the sentence-representation community, reducing friction when comparing new methods. -
11
lireddit
Reddit-style application created as source code for web development
...The project is useful for learners who want to understand how authentication, posts, voting, sessions, and database-backed features fit together in a real application. It is centered on practical implementation rather than being a polished production social platform. The repository also gives developers a reference structure for organizing a larger TypeScript-based full-stack project. Its main value is educational, helping developers see how front-end and back-end pieces connect in a realistic community app. -
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SwiftUI Drawer
A SwiftUI bottom-up controller, like in the Maps app
...The component allows developers to specify multiple resting heights, giving the drawer different states that users can snap to when dragging. It integrates seamlessly into existing layouts using a ZStack structure, where the drawer sits above other content and responds to gestures naturally. The library includes support for animations and haptic feedback, enhancing the tactile feel of interactions and improving user experience. It also provides customization options such as alignment, width, and responsive layout adjustments depending on device orientation or screen size. -
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Json Node Tree Library
Represents JSON doc as a nodes tree for transforms like XPATH & XSLT.
...The framework parses textual JSON document to nodes tree that represents JSON entity: object, array or value of primitive type. Generated tree allows to modify values of nodes and/or structure of the given JSON document. Representation of JSON object as a nodes tree allows implement an operations such as path query and transformations (like XPATH and XSLT for XML). -
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Ansible Examples
A few starter examples of ansible playbooks, to show features
...The examples highlight common Ansible practices such as organizing inventories, writing reusable playbooks, using roles, and handling variables and templates. They’re designed to be adapted directly into your own infrastructure or to serve as reference blueprints when learning how to structure automation projects. Whether you’re managing a handful of servers or deploying at scale, this repo provides starting points that illustrate how Ansible can streamline repetitive operational tasks. -
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C3.js
A D3-based reusable chart library
...We don't need to write D3 code any more. C3 gives some classes to each element when generating, so you can define a custom style by the class and it's possible to extend the structure directly by D3. C3 provides a variety of APIs and callbacks to access the state of the chart. By using them, you can update the chart even after it's rendered. C3 enables deeper integration of charts into your application. Because of the dependence on D3, C3 supports only modern browsers D3 supports. For IE9 and IE10, polyfill is required because c3 uses MutationObserver, which is not supported in those versions. ... -
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Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. -
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Spring Cloud Examples
Spring Cloud learning cases, service discovery, service governance
...It provides working codebases showing how to wire together service discovery, configuration, inter-service communication, and possibly resilience patterns — giving developers a hands-on playground rather than theoretical documentation. By studying the examples, one can understand how Spring Cloud works in practice: how to structure services, how to configure them, and how they interact under realistic conditions. For developers new to microservices or to Spring Cloud, this repo lowers the barrier to adoption by offering a ready-made baseline they can inspect, run, and modify. It can also function as a reference when designing architecture for a cloud-native backend, or as a starting point for a new microservices project. -
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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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DateTools
Dates and times made easy in iOS
DateTools was written to streamline date and time handling in iOS. Classes and concepts from other languages served as an inspiration for DateTools, especially the DateTime structure and Time Period Library for .NET. Through these classes and others, DateTools removes the boilerplate required to access date components, handles more nuanced date comparisons, and serves as the foundation for entirely new concepts like Time Periods and their collections. All the classes required for DateTools are located in the DateTools folder in the root of this repository. ... -
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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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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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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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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. ... -
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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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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. ...
