Open NPU is an open-source initiative aiming to develop a free and open neural processing unit (NPU) architecture, much like RISC-V has done for CPUs. Our goal is to provide a flexible, extensible, and community-driven platform for developing and deploying machine learning and artificial intelligence applications.

1. Intel FPGA NPU
2. NPU MNIST Classifier

• Introduction
• Features
• Architecture
• Getting Started
• Contributing
• License
• Acknowledgments
• Contact

Open NPU aims to democratize access to high-performance neural processing by providing an open-source NPU architecture. By leveraging the collective expertise of the community, we strive to create a powerful and adaptable platform that meets the needs of various AI workloads.

• Open Source: Fully open-source under a permissive license.
• Extensible: Modular design allowing easy extensions and customizations.
• High Performance: Optimized for a variety of AI and ML tasks.
• Scalable: Suitable for a range of applications from edge devices to data centers.
• Community-Driven: Contributions from developers and researchers around the world.

Open NPU's architecture is designed to be flexible and scalable, featuring:

• Modular Components: Separate modules for different processing tasks.
• Customizable Pipelines: Create and modify processing pipelines to suit specific needs.
• Interoperability: Compatible with existing AI frameworks and toolchains.

For detailed architecture information, please refer to the Architecture Document.

• Basic knowledge of neural networks and machine learning.
• Familiarity with hardware design principles.
• Development tools such as Verilog, VHDL, or high-level synthesis tools.

1. Clone the repository:

   git clone https://github.com/yourusername/open-npu.git

2. Follow the instructions in the Installation Guide to set up your development environment.

Refer to the User Guide for detailed usage instructions, including examples and best practices.

We welcome contributions from the community. Whether you're interested in developing new features, fixing bugs, or improving documentation, your help is valuable.

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Commit your changes (git commit -am 'Add new feature').
4. Push to the branch (git push origin feature/YourFeature).
5. Create a new Pull Request.

Please read our Contributing Guidelines and Code of Conduct before contributing.

See the LICENSE file for details.

• Inspired by the RISC-V project.
• Thanks to all the contributors who make this project possible.

For questions or suggestions, please open an issue or contact us at [email protected].