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volunteer-computing
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🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
Open-source software for volunteer computing and grid computing.
A crowdsourced distributed cluster for AI art and text generation
Distributed Stockfish analysis for lichess.org
💬 Chatbot web app + HTTP and Websocket endpoints for LLM inference with the Petals client
A Docker multi-container application that runs a BOINC server
The default client software to create images for the AI-Horde
The open source grid computing solution
MobileNet on TensorFlow.js - label images from Unsplash in browser
Distributing your code(soul), in almost any language(state), among a cluster of idle browsers(voids)
Distributed computing for the browser
Distributed Volunteer Computing with IOT
Computation offloading is a technique to circumvent device restrictions and bring novel, computationally-intensive applications to a heterogeneous and diverse device landscape. Wasimoff is a novel framework for general computation offloading for modern pervasive web browsers using the WebAssembly bytecode format for tasks.
Distributed computing in Node.js and JavaScript
A framework to set up distributed algorithms via HTTP, HTML and Javascript, based on NodeJS and Express.
A rust implementation for ZVMS 4 Backend (developing), using axum, mongodb, etc.
📜 A python library for distributed training of a Transformer neural network across the Internet to solve the Running Key Cipher, widely known in the field of Cryptography.
