Tissue

Tissue is a Rust framework that enables effortless and efficient conversion of machine learning models into interactive, user-friendly demos. With Tissue, a few lines of code are all it takes to bring your machine learning algorithms to life with engaging visual applications.

Features

• Speedy Setup: Get started with Tissue in minutes and integrate seamlessly with your existing Rust machine learning projects.
• Interactive GUI: Create a graphical user interface that makes your models accessible to non-technical users.
• Rust-Powered: Take advantage of Rust's performance and safety features to deploy machine learning models efficiently.

Quick Start

To begin using Tissue, add it to your project's Cargo.toml file:

[dependencies]
tissue = "0.1.0"

Create an interactive demo with Tissue:

use tissue::{run, Input};

fn main() {
    run(
        |x: Vec<f32>| x.iter().sum(),
        &[Input::Number(234.289), Input::Number(235.6)],
    )
    .expect("Could not run");
}

Licenses

This library is licensed under either of:

• MIT license LICENSE-MIT or http://opensource.org/licenses/MIT
• Apache License 2.0 LICENSE-APACHE or https://opensource.org/licenses/Apache-2.0

at your option.

Acknowledgements

Tissue owes much to the foundational work of Chris McComb's tease; its initial codebase was critical to Tissue's early development, despite tease no longer being actively maintained.

Inspired by the user-friendly interfaces of Gradio and Streamlit, Tissue aspires to streamline the sharing and demonstration of machine learning models within the Rust ecosystem, emulating the simplicity these tools offer.

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Embrace the power of Rust and bring the magic of your machine learning models to life with Tissue!