Physics-Informed Deep Learning Framework for Simulations.
SushiAI is a C++ based project built around the idea of using deep learning to replicate physical systems, with the goal of making simulationsa and games run with minimal delay. It’s designed to integrate with Python for training and data preparation, and with Unity (C#) for real-time training & inferencing.
Vision: "To deliver real-time performance in simulations without cutting corners on the laws of physics, powered by deep learning."
Mission: "To run Sushi Systems Virtual World project, Project: RL, on bit-level hardware with the highest possible performance."
- License: MIT
- Project Manager: Mustafa Garip
- E-Mail: [email protected]
- GitHub: https://github.com/sushimg/SushiAI
- LinkedIn: https://www.linkedin.com/in/mustafgarip
This project is all about using AI to handle complex physical computations in real time, without compromising the integrity of real-world physics. If you’ve got any questions or just want to share your thoughts, feel free to reach out through the links in the License and Contact section. I’ll get back to you as soon as I can. Thanks for stopping by and take care!