Search Results for "data structure" - Page 11
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Showing 890 open source projects for "data structure"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Software Engineering Blogs
A curated list of engineering blogs
Software Engineering Blogs is a curated collection of engineering-focused blog posts and resources aggregated from leading technology companies and developers. The repository serves as a centralized index that helps users discover high-quality technical content across a wide range of topics, including software engineering, system design, infrastructure, and data engineering. It is organized in a structured manner, making it easy to browse and find articles from specific companies or domains... -
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ngraph.path
Path finding in a graph
...It provides a clean API for constructing graph models, assigning weights to edges, and querying for optimal routes between nodes, making it useful for routing, games, maps, and network optimization. The library includes several algorithm implementations such as A*, Dijkstra’s, and breadth-first search, each suited to different types of graph structure and performance needs. It can be integrated with visualization libraries like VivaGraphJS to animate or highlight computed paths in a rendered graph, enabling interactive routing features. Its data structures and algorithm choices are optimized for performance and memory efficiency, so even large meshes or road networks can be navigated interactively. ... -
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Memories
Build a full stack MERN application
Project MERN Memories is a full-stack application built as a learning tutorial, using the MERN stack: React on the front end, Node.js and Express on the back end, and MongoDB for data persistence. The app is called “Memories” and allows users to post interesting events from their lives (memories), providing a simple social media–style interface and back-end API to support create, read, update, delete of posts. The repository is tied to a video tutorial series that covers the project from... -
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Erupt Framework
Pure Java annotation, single class file, rapid development
Pure Java annotation, single class file, rapid development of Admin management background. Does not generate any code, zero front-end code, zero CURD, automatic table creation, annotated API, custom service logic, supports all mainstream databases, supports custom pages, supports multiple data sources, provides more than 20 types of business components, more than a dozen It supports logical deletion, dynamic timing tasks, front-end and back-end separation, etc. Core technologies: Spring... -
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Google Workspace CLI
Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.
Google Workspace CLI (gws) is a command-line tool designed to interact with Google Workspace services such as Drive, Gmail, Calendar, Sheets, and more from a single interface. It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. It outputs structured... -
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A2UI
A Protocol for Agent-Driven Interfaces
A2UI (Agent-to-User Interface) is an open-source protocol and set of libraries developed by Google to enable AI agents to generate rich, interactive user interfaces instead of relying solely on text-based responses. The project introduces a declarative JSON format that allows agents to describe the structure, components, and behavior of a user interface, which is then rendered by the client using its own native components. This approach separates UI intent from UI implementation, making it possible for the same agent-generated interface to be rendered across different platforms such as web, mobile, and desktop applications. A key design principle of A2UI is security, as it avoids executing arbitrary code generated by models and instead restricts output to structured data that maps to a predefined catalog of trusted UI components. ... -
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Phlex
Object-oriented views in Ruby
...It also emphasizes safety and maintainability by preventing common issues such as cross-site scripting through structural design and strict data handling. Developers benefit from reusable components, modular architecture, and the ability to stream content for improved performance and user experience. -
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Prompt Poet
Streamlines and simplifies prompt design for both developers
...It allows developers and non-technical users to build prompts using templated configurations based on YAML and Jinja2, which makes prompts easier to compose, reuse, and modify across different environments. By separating prompt structure from program logic, Prompt Poet encourages iterative prompt design and experimentation without requiring constant changes to application code. The framework supports dynamic prompts that adapt to runtime data, allowing developers to inject variables, context, and examples directly into templates. This approach is particularly useful in production environments where prompt consistency, maintainability, and versioning are important. -
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LongWriter
Unleashing 10,000+ Word Generation from Long Context LLMs
LongWriter is an open-source framework and set of large language models designed to enable ultra-long text generation that can exceed 10,000 words while maintaining coherence and structure. Traditional large language models can process large inputs but often struggle to generate long outputs due to limitations in training data and alignment strategies. LongWriter addresses this challenge by introducing a specialized dataset and training approach that encourages models to produce longer responses. The system uses an agent-based pipeline called AgentWrite that decomposes large writing tasks into smaller subtasks, allowing the model to produce long documents section by section. ... -
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Easy DataSet
A powerful tool for creating datasets for LLM fine-tuning
...It supports ingesting domain-specific documents in a wide range of formats — including PDF, Markdown, DOCX, EPUB, and plain text — and can intelligently segment, clean, and structure content into rich datasets tailored for downstream LLM training needs. The system includes automated question-generation capabilities, hierarchical label trees, and answer generation pipelines that use LLM APIs to produce coherent paired data with customizable templates. Beyond dataset creation, Easy-dataset also provides a built-in evaluation system with model testing and blind-test features, helping teams validate model performance using curated test sets. -
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Go Jsonnet
This an implementation of Jsonnet in pure Go
...Import paths and custom resolvers let you structure large configuration trees across directories or remote sources, while top-level arguments and external variables parameterize builds per environment. Native functions can be registered from Go to expose domain-specific helpers without forking the language. Tooling such as a formatter and linter-friendly errors encourages clean, consistent templates that scale across teams. -
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BTree implementation for Go
BTree provides a simple, ordered, in-memory data structure for Go
This package is a high-performance, in-memory B-tree for Go that implements an ordered set/map with efficient insert, delete, and range iteration. It’s parameterized by tree degree so callers can tune cache behavior and memory overhead for their workload. Instead of relying on Go’s built-in maps—which are hash-based and unordered—btree preserves sorted order and provides rich traversal APIs like ascending, descending, and range scans. The implementation favors minimal allocations and... -
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Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained inspection and modification after training. ... -
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CodeGuide
This repository is a collection of the author, Xiao Fuge
CodeGuide is a curated collection of Java development resources built from years of real-world engineering experience by the author, who has worked extensively in large-scale internet companies. The project serves as a structured and comprehensive learning path for developers who want to strengthen their understanding of Java fundamentals and core programming practices. It includes detailed explanations of design patterns, source code analysis, frameworks, algorithms, and real-world project... -
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Goyave
Elegant Golang REST API Framework (v5 WIP)
Goyave is a Golang REST API framework aiming at cleanliness, fast development and power. Goyave is a progressive and accessible web application framework focused on REST APIs, aimed at making backend development easy and enjoyable. It has a philosophy of cleanliness and conciseness to make programs more elegant, easier to maintain and more focused. Get started quickly and master all its powerful functionalities thanks to its extensive documentation. Goyave has an expressive, elegant syntax,... -
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VoltAgent
Open Source TypeScript AI Agent Framework
An AI Agent Framework provides the foundational structure and tools needed to build applications powered by autonomous agents. These agents, often driven by Large Language Models (LLMs), can perceive their environment, make decisions, and take actions to achieve specific goals. Building such agents from scratch involves managing complex interactions with LLMs, handling state, connecting to external tools and data, and orchestrating workflows. -
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Unity MCP
AI-powered bridge connecting LLMs and advanced AI agents
Unity-MCP is an open-source integration that connects artificial intelligence assistants with the Unity game development environment through the Model Context Protocol. The project enables AI tools such as coding assistants and autonomous agents to interact directly with Unity projects, allowing them to analyze scenes, modify assets, and generate code within the development environment. By exposing Unity editor functionality through MCP tools, the plugin allows external AI systems to... -
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Map-Anything
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Map-Anything is a universal, feed-forward transformer for metric 3D reconstruction that predicts a scene’s geometry and camera parameters directly from visual inputs. Instead of stitching together many task-specific models, it uses a single architecture that supports a wide range of 3D tasks—multi-image structure-from-motion, multi-view stereo, monocular metric depth, registration, depth completion, and more. The model flexibly accepts different input combinations (images, intrinsics, poses,... -
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Pkl
A configuration as code language with rich validation and tooling
...The language is embeddable, meaning it can run inside applications (Java, Swift, Go, etc.) to load configuration dynamically with the same safety guarantees. There’s also code generation support: writing Pkl modules can generate matching classes or data structures in target languages (Swift, Go, Java, Kotlin) so runtime config and statically typed code stay in sync. -
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Middleman
Hand-crafted frontend development
Middleman is a Ruby-powered static site generator that emphasizes clean templates, flexible layouts, and a great developer experience. It supports common templating languages (ERB, Haml, Slim) and content formats (Markdown, AsciiDoc), plus front-matter metadata to drive layouts, navigation, and per-page behavior. A built-in dev server with live reload keeps iteration fast, while an asset pipeline handles fingerprinting, minification, and cache-friendly builds. Extensions cover blogging,... -
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GraphQL Tools
Build, mock, and stitch a GraphQL schema using the schema language
GraphQL Tools is a set of NPM packages and an opinionated structure for how to build a GraphQL schema and resolvers in JavaScript, following the GraphQL-first development workflow. Use the GraphQL schema definition language to generate a schema with full support for resolvers, interfaces, unions, and custom scalars. With GraphQL Tools, you can mock your GraphQL API with fine-grained per-type mocking for fast prototyping without any data sources. -
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Gen.jl
A general-purpose probabilistic programming system
An open-source stack for generative modeling and probabilistic inference. Gen’s inference library gives users building blocks for writing efficient probabilistic inference algorithms that are tailored to their models, while automating the tricky math and the low-level implementation details. Gen helps users write hybrid algorithms that combine neural networks, variational inference, sequential Monte Carlo samplers, and Markov chain Monte Carlo. Gen features an easy-to-use modeling language... -
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VarDumper Component
Provides mechanisms for walking through any arbitrary PHP variable
...Ability to dump internal references, either soft ones (objects or resources) or hard ones (=& on arrays or objects properties). Repeated occurrences of the same object/array/resource won’t appear again and again anymore. Moreover, you’ll be able to inspect the reference structure of your data. Ability to operate in the context of an output buffering handler. -
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OpenAI DALL·E AsyncImage SwiftUI
OpenAI swift async text to image for SwiftUI app using OpenAI
...In machine learning, diffusion models, also known as diffusion probabilistic models, are a class of latent variable models. They are Markov chains trained using variational inference. The goal of diffusion models is to learn the latent structure of a dataset by modeling the way in which data points diffuse through the latent space. -
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Stanza
Stanford NLP Python library for many human languages
...It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. Stanza is built with highly accurate neural network components that also enable efficient training and evaluation with your own annotated data.
