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This repository contains a Rust-based graphical user interface (GUI) application built using GTK, designed to annotate, train, and evaluate AI algorithms and machine learning models. The app provides an intuitive and efficient workflow for data scientists and AI enthusiasts, facilitating the entire process from data annotation to model evaluation.

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felixbd/ai-lab

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AI Lab

see: https://felixbd.github.io/ai-lab/ai_lab/index.html

This repository contains a Rust-based graphical user interface (GUI) application built using GTK, designed to annotate, train, and evaluate AI algorithms and machine learning models. The app provides an intuitive and efficient workflow for data scientists and AI enthusiasts, facilitating the entire process from data annotation to model evaluation.

Features

  • Annotation Tool: Easily annotate datasets with a user-friendly interface,

supporting various data types and formats.

  • Training Module: Train machine learning models with customizable

parameters and monitor training progress in real-time.

  • Evaluation Suite: Evaluate trained models using different metrics and

visualize performance results.

  • User-Friendly Interface: Leverage the power of GTK to provide a smooth and

interactive user experience.

  • Rust-Powered: Enjoy the safety and performance benefits of Rust, ensuring

robust and efficient operations.

Getting Started

  1. Clone the Repository:
    git clone [email protected]:felixbd/ai-lab.git
    cd ai-lab
        
  2. Build the Project:
    cargo build --release
        
  3. Run the Application:
    cargo run --release
        

Prerequisites

  • Rust and Cargo installed
  • GTK development libraries

see: https://gtk-rs.org/

see: https://gtk-rs.org/gtk4-rs/stable/latest/book/introduction.html

Installation

Detailed installation instructions for various platforms are available in the INSTALL.org file.

Usage

Refer to the USER_GUIDE.org for a comprehensive guide on how to use the application effectively.

Contributing

Contributions are welcome! Please see the CONTRIBUTING.org file for guidelines on how to contribute to this project.

License

This project is licensed under the GNU GPLv3 License - see the LICENSE file for details.

<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year>  <name of author>

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.

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This repository contains a Rust-based graphical user interface (GUI) application built using GTK, designed to annotate, train, and evaluate AI algorithms and machine learning models. The app provides an intuitive and efficient workflow for data scientists and AI enthusiasts, facilitating the entire process from data annotation to model evaluation.

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