TensorPlay
TensorPlay is an open source deep learning framework built to be flexible and modular for education and research, offering a clear view into the internal mechanics of AI systems.
TensorPlay simplifies the path from theoretical understanding to practical implementation. Built to offer maximum clarity and hackability, TensorPlay supports dynamic computation graphs, enabling students and researchers to explore neural network internals intuitively. Its Pythonic design and deep integration with native Python tools make it an accessible platform for mastering deep learning concepts.
Designed for education and transparency, TensorPlay is the ideal playground for understanding how frameworks work under the hood. It supports essential use cases—from basic tensor operations to building custom neural network layers—through a modular ecosystem of libraries. TensorPlay provides readable implementations of CPU and CUDA backends, making it perfect for learning how to write custom hardware kernels and bind them with nanobind.
Whether you're learning deep learning fundamentals or prototyping new architectural ideas, TensorPlay delivers the simplicity, transparency, and flexibility needed to transform curiosity into knowledge.
