CortexOS: The AI & ML Operating System

🧠 Your AI Journey, Accelerated.

CortexOS is a purpose-built, Ubuntu-based Linux distribution designed from the ground up to eliminate the friction of setting up an AI and machine learning development environment. We understand the pain of tangled dependencies, incompatible drivers, and fragmented toolchains. CortexOS provides a seamless, "just-works" experience, so you can spend less time configuring and more time innovating.

By integrating the industry's most popular frameworks, libraries, and drivers out-of-the-box, CortexOS turns any machine into a powerful, ready-to-use platform for deep learning, data science, and AI research.

✨ Key Features

Pre-configured Environment: Say goodbye to "dependency hell." CortexOS comes with Python, CUDA, cuDNN, and all essential drivers pre-installed and properly configured.
Optimized Performance: The OS is fine-tuned for modern NVIDIA and AMD GPUs, ensuring maximum performance for your compute-intensive tasks.
Essential Frameworks: We ship with the latest stable versions of leading AI and ML frameworks. No more manual installs or version conflicts.
Intuitive Workflow: A clean and efficient desktop environment, bundled with popular IDEs and tools, streamlines your workflow from code to deployment.
Robust & Secure: Built on the rock-solid foundation of Ubuntu, CortexOS provides the stability and security you expect from a production-ready OS.

📦 What's Included?

CortexOS bundles the most critical tools for every stage of your AI pipeline.

Deep Learning & Machine Learning Frameworks

TensorFlow: Google's powerful end-to-end open-source platform for machine learning.
PyTorch: An open-source machine learning framework, favored for its flexibility and ease of use in research.
Keras: A high-level neural networks API, enabling rapid prototyping and experimentation.
scikit-learn: A comprehensive library for classic machine learning algorithms, perfect for data analysis and mining.
Jupyter & JupyterLab: The essential web-based interactive development environments for data science.

Core Libraries & Drivers

NVIDIA CUDA Toolkit: The foundation for GPU-accelerated computing.
NVIDIA cuDNN: A GPU-accelerated library for deep neural networks.
OpenCV: An essential library for computer vision and image processing.
Anaconda/Miniconda: A powerful package manager for creating and managing isolated Python environments.
Git: Pre-installed for seamless version control and collaboration.

🚀 Getting Started

Ready to experience the future of AI development?

Download: Get the latest ISO image from our releases page.
Create a Bootable Drive: Use a tool like Etcher or Rufus to create a bootable USB drive.
Install: Boot from the USB drive and follow the simple installation wizard.

That's it! Your system is now ready to develop, train, and deploy AI models.

🤝 Community & Contribution

CortexOS is a community-driven project. We welcome contributions from developers, designers, and enthusiasts of all levels.

Bugs & Issues: Found a bug? Have a suggestion? Open an issue on our GitHub Issues page.
Contributions: We welcome pull requests for bug fixes, new features, or documentation improvements. See our CONTRIBUTING.md for more details.
Community Discussion: Join our community on Discord to chat with other users and developers.

📜 License

CortexOS is distributed under the MIT License. See the LICENSE file for more information.

xhorizont/CortexOS