Showing 7371 open source projects for "vx-linux"

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    MagicTime

    MagicTime

    Time-lapse Video Generation Models as Metamorphic Simulators

    This repository is the official implementation of MagicTime, a metamorphic video generation pipeline based on the given prompts. The main idea is to enhance the capacity of video generation models to accurately depict the real world through our proposed methods and dataset. Compared to general videos, metamorphic videos contain physical knowledge, long persistence, and strong variation, making them difficult to generate.
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    Telegram Bot Java Library

    Telegram Bot Java Library

    Java library to create bots using Telegram Bots API

    A simple-to-use library to create Telegram Bots in Java.
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  • 3
    img2dataset

    img2dataset

    Easily turn large sets of image urls to an image dataset

    Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine. Also supports saving captions for url+caption datasets. Opt-out directives: Websites can pass the http headers X-Robots-Tag: noai, X-Robots-Tag: noindex , X-Robots-Tag: noimageai and X-Robots-Tag: noimageindex By default img2dataset will ignore images with such headers.
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  • 4
    Rawon

    Rawon

    A simple powerful Discord music bot built to fulfill your production

    A simple powerful Discord music bot built to fulfill your production desires. Easy to use, with no coding required.
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  • 5
    hfapigo

    hfapigo

    Unofficial (Golang) Go bindings for the Hugging Face Inference API

    (Golang) Go bindings for the Hugging Face Inference API. Directly call any model available in the Model Hub. An API key is required for authorized access. To get one, create a Hugging Face profile.
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  • 6
    CGraph

    CGraph

    A general, three-party dependency-free, cross-platform

    CGraph is a high-performance, cross-platform Directed Acyclic Graph (DAG) framework implemented in pure C++ with no third-party dependencies, designed for building complex task pipelines and parallel execution workflows. It allows developers to model computational processes as graph structures, where nodes represent tasks and edges define dependencies, enabling efficient scheduling and execution. The framework includes a pipeline system that supports sequential and parallel execution,...
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  • 7
    nono

    nono

    Secure, kernel-enforced sandbox CLI and SDKs for AI agents

    ...The project addresses a growing security concern: modern coding agents typically execute with full user permissions, which means they can potentially read sensitive files, modify system configurations, or exfiltrate credentials if compromised. nono solves this by applying default-deny sandboxing at the kernel level using technologies such as Landlock on Linux and Seatbelt on macOS, making unauthorized actions structurally impossible rather than merely discouraged. Unlike container-based approaches, the tool is intentionally lightweight and can wrap any command-line process without requiring images, VMs, or complex infrastructure. The system emphasizes capability-based security, where processes are granted only the exact filesystem paths and network access they need, and nothing more.
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  • 8
    FLEXible

    FLEXible

    Federated Learning (FL) experiment simulation in Python

    FLEXible (Federated Learning Experiments) is a Python framework offering tools to simulate FL with deep learning. It includes built-in datasets (MNIST, CIFAR10, Shakespeare), supports TensorFlow/PyTorch, and has extensions for adversarial attacks, anomaly detection, and decision trees.
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  • 9
    Pfl Research

    Pfl Research

    Simulation framework for accelerating research

    A fast, modular Python framework released by Apple for privacy-preserving federated learning (PFL) simulation. Integrates with TensorFlow, PyTorch, and classical ML, and offers high-speed distributed simulation (7–72× faster than alternatives).
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  • 10
    VectorChord

    VectorChord

    Scalable, fast, and disk-friendly vector search in Postgres

    VectorChord is an open-source vector database built for local and edge deployment. It supports efficient vector indexing and retrieval using ANN (approximate nearest neighbor) algorithms and is optimized for integration with LLM and AI applications. VectorChord is lightweight and can be embedded in a variety of environments for fast semantic search.
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  • 11
    ModelContextProtocol.NET

    ModelContextProtocol.NET

    A C# SDK implementation of the Model Context Protocol (MCP)

    ModelContextProtocol.NET is a C# SDK that implements the Model Context Protocol (MCP), allowing developers to build MCP servers on the .NET platform. It supports standard input/output communication and provides a framework for tool integration. The SDK is compatible with Native AOT, enhancing performance and deployment flexibility. A calculator demo implementation is included to demonstrate its capabilities. Features under development include WebSocket support, resource management, and a...
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  • 12
    MCP Linear

    MCP Linear

    MCP server that enables AI assistants to interact with Linear project

    The MCP Linear server is a Model Context Protocol (MCP) implementation that enables AI assistants to interact with the Linear project management system through natural language. It allows users to retrieve, create, and update issues, projects, and teams within Linear, facilitating seamless integration between AI models and project management workflows. ​
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  • 13
    All-in-One Model Context Protocol

    All-in-One Model Context Protocol

    All-in-one MCP server with AI search, RAG

    The All-in-One Model Context Protocol Server is a comprehensive MCP server implementation integrating services like GitLab, Jira, Confluence, YouTube, and more. It provides AI-powered search capabilities and utility tools to enhance development workflows. ​
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  • 14
    MCP Kibela

    MCP Kibela

    MCP server implementation that enables AI assistants

    The MCP-Kibela server is a Model Context Protocol server implementation that enables AI assistants to search and reference content stored in Kibela. This integration allows AI models to securely access information within Kibela, enhancing their contextual understanding and response generation. ​
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  • 15
    Contentful MCP

    Contentful MCP

    MCP (Model Context Protocol) server for the Contentful Management API

    The Contentful MCP Server is an MCP server implementation that integrates with Contentful's Content Management API, providing comprehensive content management capabilities. It allows AI assistants to interact with Contentful, facilitating tasks such as content retrieval and management. ​
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  • 16
    MCP DifyWorkflow Server

    MCP DifyWorkflow Server

    mcp-difyworkflow-server is an mcp server Tools application

    The MCP-DifyWorkflow-Server is an MCP server application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows. It serves as a bridge between applications and the Dify platform, enabling seamless workflow management. ​
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  • 17
    MCP Server Amazon Bedrock

    MCP Server Amazon Bedrock

    Model Context Procotol(MCP) server for using Amazon Bedrock

    The Amazon Bedrock MCP Server is an MCP server that integrates with Amazon Bedrock's Nova Canvas model for AI image generation. It allows users to generate high-quality images from text descriptions using Amazon's AI capabilities. ​
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  • 18
    MCP Server Home Assistant

    MCP Server Home Assistant

    A Model Context Protocol Server for Home Assistant

    The Home Assistant MCP Server is an MCP server that integrates with Home Assistant, enabling AI assistants to interact with smart home devices and systems. It exposes Home Assistant voice intents through the Model Context Protocol for enhanced home control. ​
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  • 19
    MCP Security Audit

    MCP Security Audit

    Powerful MCP (Model Context Protocol) Server that audits npm packages

    The MCP Security Audit Server is a powerful Model Context Protocol server that audits npm package dependencies for security vulnerabilities, integrating with remote npm registries for real-time security checks. ​
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  • 20
    MCP WebResearch

    MCP WebResearch

    MCP web research server (give Claude real-time info from the web)

    The MCP Web Research Server is a Model Context Protocol server designed to bring real-time web information into AI applications like Claude, facilitating efficient research on any topic. ​
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  • 21
    AgentQL MCP

    AgentQL MCP

    Model Context Protocol server that integrates AgentQL's data

    The AgentQL MCP Server is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities, enabling users to extract structured data from web pages using natural language prompts. ​
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  • 22
    MCP Monitor

    MCP Monitor

    A system monitoring tool that exposes system metrics

    The MCP System Monitor is a tool that exposes system metrics via the Model Context Protocol (MCP), allowing Large Language Models (LLMs) to retrieve real-time system information through an MCP-compatible interface. ​
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  • 23
    EVM MCP Server

    EVM MCP Server

    MCP server that provides LLM with tools for interacting with EVM

    EVM MCP Server is a comprehensive Model Context Protocol (MCP) server that provides blockchain services across multiple EVM-compatible networks. It enables AI agents to interact with Ethereum, Optimism, Arbitrum, Base, Polygon, and many other EVM chains through a unified interface. ​
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  • 24
    Box MCP Server

    Box MCP Server

    A Box model context protocol server to search, read and access files

    Box MCP Server is a Model Context Protocol (MCP) server designed to facilitate searching, reading, and accessing files stored on the Box cloud storage platform. It enables seamless integration with Box, allowing for efficient file management and retrieval through MCP-compatible clients. ​
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  • 25
    MCP Text Editor

    MCP Text Editor

    Provides line-oriented text file editing capabilities

    The MCP Text Editor Server provides line-oriented text file editing capabilities through a standardized API, optimized for integration with Large Language Models (LLMs). It enables efficient partial file access, minimizing token usage while ensuring safe concurrent editing.
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