Showing 784 open source projects for "linux operating systems"

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  • 1
    Marble Skill Taxonomy

    Marble Skill Taxonomy

    Structured taxonomy of what children learn across the primary years

    Marble Skill Taxonomy is an open structured dataset that maps what children learn across primary and elementary education. It breaks curriculum content into fine-grained micro-topics instead of leaving learning goals as broad standards. Each topic includes subject, domain, age range, description, evidence criteria, assessment prompt, and stable identifiers. The dataset also defines prerequisite relationships, so developers can trace what a learner should master before a concept. It aligns...
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  • 2
    Tile Kernels

    Tile Kernels

    A kernel library written in tilelang

    Tile Kernels is a DeepSeek kernel library written with TileLang for high-performance AI and machine-learning workloads. It contains specialized kernels for areas such as mixture-of-experts routing, quantization, batched transpose operations, Engram gating, and Manifold HyperConnection components. The project includes both optimized kernel implementations and PyTorch reference versions for comparison and validation. It is aimed at developers and researchers who work close to model internals...
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  • 3
    Napkin Math

    Napkin Math

    Techniques and numbers for estimating system's performance

    Napkin Math is a technical reference project for estimating software system performance from first principles. It collects practical numbers, benchmark-style measurements, and mental models that help engineers make fast back-of-the-envelope calculations. The project is useful for questions like how much memory throughput matters, how long storage operations may take, what network latency to expect, or how expensive logging could become at high request volume. It treats these values as...
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  • 4
    all AI news

    all AI news

    A list of online news & info sources in the AI/ML/Data Science space

    all AI news is a curated repository that aggregates and organizes sources for AI-related news and information. It serves as a centralized collection of feeds, links, and resources that can be used to build news aggregation systems or stay updated on developments in artificial intelligence. The project is designed to be easily extendable, allowing users to add new sources or customize the dataset for their specific needs. It is particularly useful for developers building AI news platforms,...
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    Must Reading on ISAC

    Must Reading on ISAC

    Must Reading Papers, Research Library, Open-Source Code

    A design paradigm and corresponding enabling technologies, in which sensing and comms systems are integrated to efficiently utilize congested wireless/hardware resources, and even to pursue mutual benefits. Waveform Design and Signal Processing Aspects for Fusion of Wireless Communications and Radar Sensing. Supported by IEEE ComSoc ISAC Emerging Technology Initiative (ETI). Integrating Sensing and Communications for Ubiquitous IoT. Include reproducible codes, good papers and a research libary.
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  • 6
    User Agents

    User Agents

    A JavaScript library for generating random user agents with data

    User Agents is a JavaScript library that generates realistic and up-to-date user agent strings and browser fingerprints based on real-world usage data. The library is designed to help developers simulate authentic browser traffic patterns, which is particularly useful in web scraping, testing, and automation scenarios. Unlike simpler random user agent generators, it uses frequency-weighted datasets to ensure that generated values reflect how browsers are actually used in the wild. The...
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  • 7
    EKS Best Practices

    EKS Best Practices

    A best practices guide for day 2 operations

    The Amazon EKS Best Practices Guide is a public repository containing comprehensive documentation and guidance for operating production-grade Kubernetes clusters on AWS’s managed service, Amazon EKS. Rather than a code library, it serves as a reference catalogue of patterns, anti-patterns, checklists and architectures across domains such as security, reliability, scalability, networking, cost optimization and hybrid cloud deployments. The repository is maintained by AWS but open to...
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  • 8
    PyG

    PyG

    Graph Neural Network Library for PyTorch

    PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support,...
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  • 9
    jamesob's guide to running SOTA LLMs

    jamesob's guide to running SOTA LLMs

    Everything I know about running LLMs locally

    jamesob's guide to running SOTA LLMs is a practical guide and configuration repository for running high-end language models on local hardware. It documents one developer’s local LLM setup, including hardware choices, GPU layout, storage, PCIe switches, kernel settings, and serving workflows. The repository compares budget levels ranging from dual RTX 3090 systems to high-end multi-GPU workstations with very large VRAM pools. It includes ready-to-run serving configurations for selected models...
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  • 10
    Substrate Node Template

    Substrate Node Template

    A rust implementation of the Quip Protocol forked from Substrate

    Substrate Node Template is a Rust-based implementation of the Quip Protocol built on top of the Substrate blockchain framework, providing a customizable foundation for building decentralized networks. The project is structured as a blockchain node template, including components such as runtime logic, networking, consensus mechanisms, and RPC interfaces. It leverages FRAME, Substrate’s modular runtime development system, allowing developers to compose blockchain functionality through reusable...
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  • 11
    colleague-skill

    colleague-skill

    Transform a cold separation into a warm Skill

    colleague-skill is a specialized agent skill designed to simulate a collaborative teammate within AI-driven workflows, enabling agents to behave more like human colleagues in problem-solving scenarios. The project focuses on enhancing interaction quality by introducing role-based behavior, contextual awareness, and cooperative task execution. It allows agents to provide suggestions, feedback, and alternative approaches, mimicking real-world collaboration dynamics. The system likely...
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  • 12
    overseer

    overseer

    Monitorable, gracefully restarting, self-upgrading binaries in Go

    overseer is a Go-based library designed to enable self-upgrading and gracefully restarting applications without downtime, making it particularly useful for long-running services and production systems. It provides a mechanism for monitoring a running binary and seamlessly replacing it with a newer version while preserving active connections and minimizing service interruption. The project is built with reliability in mind, allowing developers to implement zero-downtime deployments in their...
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  • 13
    awsm.fish

    awsm.fish

    A curation of prompts, plugins & other Fish treasures

    awsm.fish is a plugin and theme ecosystem for the Fish shell — a user-friendly, interactive shell for Unix systems focused on simplicity, discoverability, and a rich feature set out of the box. Created by the author of several Fish-related tooling projects, awsm.fish includes commands, prompts, functions, and utilities that make working in the shell more powerful and enjoyable without requiring complex configuration files. It offers intuitive features like enhanced autocompletion,...
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  • 14
    Python Interview Bible

    Python Interview Bible

    Curated set of interview notes, Q&A, and code snippets

    Python-Interview-Bible is a curated set of interview notes, Q&A, and code snippets aimed at helping candidates prepare efficiently for Python roles. It organizes content by topic—language essentials, data structures, algorithms, concurrency, networking, and databases—so you can target weak areas quickly. The repository emphasizes clear explanations and compact examples that demonstrate correct usage and common pitfalls. Many entries include comparative discussions, such as list vs tuple or...
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  • 15
    Lightweight ring buffer manager

    Lightweight ring buffer manager

    Lightweight generic ring buffer manager library

    The library provides generic FIFO ring buffer implementation.
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  • 16
    OWASP Find Security Bugs

    OWASP Find Security Bugs

    The SpotBugs plugin for security audits of Java web applications

    The SpotBugs plugin for security audits of Java web applications. Find Security Bugs is the SpotBugs plugin for security audits of Java web applications. It can detect 141 different vulnerability types with over 823 unique API signatures. Cover popular frameworks including Spring-MVC, Struts, Tapestry and many more. Plugins are available for Eclipse, IntelliJ / Android Studio and NetBeans. Command line integration is available with Ant and Maven. Can be used with systems such as Jenkins and...
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  • 17
    libmwaw

    libmwaw

    Import library for legacy Mac documents

    libmwaw contains import filters for many old Macintosh text document formats (MacWrite, ClarisWorks, ... ) and for some graphic, spreadsheet and presentation formats. It can handle with varying level of success about forty different formats (see the Wiki section for more details). libmwaw is based on librevenge (see https://sourceforge.net/p/libwpd/wiki/librevenge/ ).
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    Downloads: 665 This Week
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  • 18
    Chronicle Queue

    Chronicle Queue

    Micro second messaging that stores everything to disk

    Micro second messaging that stores everything to disk. With millions of users worldwide, Chronicle Queue is a leading choice for organizations of all sizes seeking a low-latency, high-performance messaging framework. The Chronicle Queue Enterprise version eliminates compatibility issues and allows for the seamless integration and sharing of data between Java, Rust, Python, and C++ libraries. Chronicle Queue is available as a fully native Java, Rust or C++ library, and also supports a Python...
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  • 19
    ollama-hpp

    ollama-hpp

    Modern, Header-only C++ bindings for the Ollama API

    ollama-hpp is a C++ client library that provides a lightweight and efficient interface for interacting with the Ollama API in native applications. It is designed with performance and portability in mind, making it suitable for systems where low-level control and minimal overhead are important. The library exposes core Ollama functionality such as text generation and chat through a C++-friendly API, allowing developers to integrate local LLM capabilities into desktop, embedded, or...
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  • 20
    LLM Tornado

    LLM Tornado

    The .NET library to build AI agents with 30+ built-in connectors

    LLM Tornado is a provider-agnostic .NET SDK designed to build, orchestrate, and deploy AI agents and workflows with a strong focus on flexibility and integration. It provides a unified interface that connects to more than 30 AI providers and vector databases, allowing developers to switch between models and services without rewriting application logic. The framework introduces a powerful orchestration system based on graph-like structures, where agents, tasks, and transitions can be defined...
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  • 21
    Zent

    Zent

    A collection of essential UI components written with React

    Zent is a React-based UI component library developed by Youzan, designed to provide a comprehensive set of reusable components for building modern web applications efficiently. It includes both general-purpose UI elements and domain-specific components, making it particularly useful for business-oriented applications such as dashboards, admin panels, and eCommerce systems. The library emphasizes developer productivity by offering high-quality, ready-to-use components that reduce the need to...
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  • 22
    x-ui-yg

    x-ui-yg

    The x-ui simplified and modified version of the script

    x-ui-yg is a streamlined and modified version of the x-ui panel designed to simplify the management of Xray-based proxy services. It provides a web-based interface for configuring and monitoring multiple proxy protocols, allowing users to manage connections, users, and traffic from a centralized dashboard. The script supports a wide range of system architectures, including IPv4, IPv6, AMD64, and ARM64, making it versatile for deployment on different server types. It emphasizes local...
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  • 23
    Professional Services

    Professional Services

    Common solutions and tools developed by Google Cloud

    Professional Services repository is a collection of real-world solutions, tools, and reference implementations developed by Google Cloud’s Professional Services team to address common enterprise challenges. Unlike simple sample repositories, it focuses on production-oriented use cases such as data pipelines, machine learning workflows, infrastructure automation, and security management. The repository contains a wide variety of projects, including tools for validating data migrations,...
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  • 24
    Flask-SocketIO

    Flask-SocketIO

    Socket.IO integration for Flask applications

    Flask-SocketIO is an extension for the Flask web framework that enables real-time bi-directional communication between clients and servers using WebSockets or long-polling fallbacks, making it possible to build interactive applications like chat systems, live dashboards, and collaborative tools. It abstracts the complexities of asynchronous sockets by providing a familiar Flask-style API where developers can define event handlers that trigger on client messages, broadcast to connected users,...
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  • 25
    CoreNet

    CoreNet

    CoreNet: A library for training deep neural networks

    CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. Its distributed...
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