NeuronOS

A specialized Linux distribution for Data Science and AI

Features • Installation • Included Tools • Customization • Development • Contributing • License

Overview

NeuronOS is a specialized Linux distribution designed for data scientists, AI researchers, and machine learning engineers. It comes pre-configured with the most popular tools and libraries for data science and AI development, providing a seamless and efficient environment for innovation.

Key Principles

• Fast & Efficient: Optimized for performance with a lightweight desktop environment
• Modern & Beautiful: Clean, modern interface with a dark theme optimized for long coding sessions
• Pre-configured: All the tools you need for data science and AI, ready to use out of the box
• Easy to Use: Intuitive interface and comprehensive documentation
• Extensible: Simple package management and customization options

Features

• Optimized Performance: Tuned kernel parameters, efficient memory management, and SSD optimizations
• Modern UI: Sleek, glass-effect interface with a dark theme and modern fonts
• Pre-installed Tools: Comprehensive suite of data science and AI tools
• Development Environment: VS Code with extensions, Git integration, and Docker support
• Data Science Stack: Python, R, Jupyter, and more
• AI Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, and more
• Example Applications: Ready-to-run examples for Streamlit, Gradio, and more

Project Status

🚧 Early Development 🚧

This project is currently in the development phase. We're building the core components and refining the user experience.

Installation

System Requirements

• CPU: 64-bit processor (x86_64), 2+ cores recommended
• RAM: 4 GB minimum, 8 GB or more recommended for AI workloads
• Disk Space: 20 GB minimum, 50 GB or more recommended
• GPU: NVIDIA GPU recommended for AI workloads (but not required)
• Display: 1024x768 or higher resolution

Installation Methods

Method 1: Installing from ISO

1. Download the ISO:

   • Download the latest NeuronOS ISO from the releases page

2. Create a Bootable USB Drive:

   • On Windows: Use Rufus or Etcher
   • On Linux: Use the dd command or Etcher
   • On macOS: Use Etcher

3. Boot from the USB Drive:

   • Restart your computer and boot from the USB drive
   • You may need to change the boot order in your BIOS/UEFI settings

4. Install NeuronOS:

   • Follow the on-screen instructions to install NeuronOS
   • You can choose to install alongside your existing OS or replace it

Method 2: Using a Virtual Machine

1. Download the VM Image:

   • Download the NeuronOS VM image from the releases page

2. Import the VM:

   • Open VirtualBox or VMware
   • Import the downloaded OVA file
   • Start the VM

Building from Source

To build NeuronOS from source, see the Development section below.

Project Structure

neuronos/
├── build/               # Scripts for building ISO
├── config/              # Config files (e.g. hostname, themes)
├── packages/            # Custom packages and preinstalled apps
│   ├── ai/              # AI tools (PyTorch, TensorFlow, etc.)
│   ├── ds/              # Data science libs (Pandas, Jupyter, etc.)
│   ├── system/          # Core apps like terminal, editor
├── ui/                  # UI design files (Qt/KDE config, themes)
├── docs/                # Installation and dev docs
├── tools/               # Installers, utilities
├── scripts/             # Shell/Python automation scripts
├── LICENSE
└── README.md

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Acknowledgments

• Based on Ubuntu/Debian
• Inspired by the needs of the AI and Data Science community