4 projects for "webgpu" with 2 filters applied:

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  • 1
    BrowserAI

    BrowserAI

    Run local LLMs like llama, deepseek, kokoro etc. inside your browser

    BrowserAI is a cutting-edge platform that allows users to run large language models (LLMs) directly in their web browser without the need for a server. It leverages WebGPU for accelerated performance and supports offline functionality, making it a highly efficient and privacy-conscious solution. The platform provides a developer-friendly SDK with pre-configured popular models, and it allows for seamless switching between MLC and Transformer engines. Additionally, it supports features such as speech recognition, text-to-speech, structured output generation, and Web Worker support for non-blocking UI performance.
    Downloads: 0 This Week
    Last Update:
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  • 2
    Supertonic

    Supertonic

    Lightning-fast, on-device TTS, running natively via ONNX

    ...Supertonic is designed to handle real-world text gracefully, including numbers, dates, currency symbols, abbreviations, and technical units, without requiring heavy pre-processing or custom text normalization. The repository provides complete reference implementations across many programming ecosystems—Python, Node.js, browser (WebGPU/WASM), Java, C++, C#, Go, Swift, iOS, Rust, and Flutter.
    Downloads: 2 This Week
    Last Update:
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  • 3
    MLC LLM

    MLC LLM

    Universal LLM Deployment Engine with ML Compilation

    ...The system supports deployment on environments including Linux, macOS, Windows, iOS, Android, and web browsers while utilizing different acceleration technologies such as CUDA, Vulkan, Metal, and WebGPU. It also provides OpenAI-compatible APIs that allow developers to integrate locally deployed models into existing AI applications without major code changes.
    Downloads: 12 This Week
    Last Update:
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  • 4
    Secret Llama

    Secret Llama

    Fully private LLM chatbot that runs entirely with a browser

    ...The interface mirrors the modern chat UX you’d expect—streaming responses, markdown, and a clean layout—so there’s no usability tradeoff to gain privacy. Under the hood it uses a web-native inference engine to accelerate model execution with GPU/WebGPU when available, keeping responses responsive even without a backend. It’s a great option for developers and teams who want to prototype assistants or handle sensitive text without sending prompts to external APIs.
    Downloads: 0 This Week
    Last Update:
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