Showing 7 open source projects for "model driven"

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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

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  • 1
    IOPaint

    IOPaint

    Image inpainting tool powered by SOTA AI Model

    IOPaint is a powerful open-source image editing tool focused on inpainting, outpainting, object removal, and general image manipulation driven by state-of-the-art AI models, delivering these capabilities through both local and hosted workflows. Designed to be fully self-hosted and flexible, IOPaint supports a variety of underlying generators and inpaint models — from LaMa erase networks to Stable Diffusion-based replace/object generation — giving users multiple ways to refine or reconstruct...
    Downloads: 28 This Week
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  • 2
    Mobile Next

    Mobile Next

    Model Context Protocol Server for Mobile Automation and Scraping

    Mobile Next is a Model Context Protocol server designed to enable scalable, AI-driven mobile automation across both iOS and Android environments through a unified interface. It abstracts away platform-specific complexities, allowing developers and AI agents to interact with mobile devices using a consistent set of commands regardless of operating system.
    Downloads: 0 This Week
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  • 3
    NetBird

    NetBird

    Connect your devices into a secure WireGuard-based overlay network

    NetBird is an open-source solution that builds a WireGuard®-based overlay network enabling seamless, encrypted peer-to-peer connectivity without the complexity of firewall rules, port forwarding, or centralized VPN gateways. It integrates access control features such as SSO and MFA for secure, policy-driven networking. Every machine in the network runs NetBird Agent (or Client) that manages WireGuard. Every agent connects to Management Service that holds network state, manages peer IPs, and...
    Downloads: 69 This Week
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  • 4
    fritz2

    fritz2

    Easily build reactive web-apps in Kotlin based on flows and coroutines

    ...This means that when parts of your data model change, exactly those and only those DOM-nodes depending on the changed parts will automatically change as well - no virtual dom needed.
    Downloads: 0 This Week
    Last Update:
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    $300 Free Credits to Build on Google Cloud

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  • 5
    Stremio Core

    Stremio Core

    Types, addon system, UI models, core logic

    Stremio Core is the Rust engine that powers Stremio’s apps by centralizing all reusable logic behind discovery, catalogs, metadata, streams, add-ons, and user/library state. It exposes a clean set of modules—types, addon_transport, and state_types—so apps can talk to add-ons, model UI state, and react to events without duplicating code. The architecture is inspired by Elm: immutable state, message-driven updates, and explicit side-effects (“effects”) keep behavior predictable and testable. An environment abstraction lets hosts provide implementations for things like storage, networking, and timers, making the core portable to desktop, mobile, and web. ...
    Downloads: 1 This Week
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  • 6
    Java WebSockets

    Java WebSockets

    A barebones WebSocket client and server implementation

    This repository contains a barebones WebSocket server and client implementation written in 100% Java. The underlying classes are implemented java.nio, which allows for a non-blocking event-driven model (similar to the WebSocket API for web browsers). The org.java_websocket.server.WebSocketServer abstract class implements the server-side of the WebSocket Protocol. A WebSocket server by itself doesn't do anything except establish socket connections though HTTP. After that it's up to your subclass to add purpose. The org.java_websocket.client.WebSocketClient abstract class can connect to valid WebSocket servers. ...
    Downloads: 1 This Week
    Last Update:
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  • 7
    Protenix

    Protenix

    A trainable PyTorch reproduction of AlphaFold 3

    Protenix is an open-source, trainable PyTorch reimplementation of AlphaFold 3, developed by ByteDance with the goal of democratizing high-accuracy protein structure prediction for computational biology and drug-discovery research. Protenix provides a complete pipeline for turning protein sequences (with optional MSA / sequence alignment) or structural inputs (e.g. PDB/CIF) into full 3D atomic-level structure predictions. It supports both “full” models and lightweight variants such as...
    Downloads: 1 This Week
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