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#python Tinygrad is a simple deep learning framework that is easy to understand and use. It is designed to be lightweight and flexible, making it easy to add new hardware accelerators. Tinygrad supports various devices like GPUs and CPUs, and it can run models like LLaMA and Stable Diffusion. Its simplicity helps users learn how deep learning works by providing a clean and readable codebase. This makes it a great tool for learning and experimenting with deep learning concepts. https://github.com/tinygrad/tinygrad