About TensorPlay

We want the inner mechanics of modern AI systems to be readable, teachable, and hackable again.

Mission

Provide a transparent, accessible platform for learning how deep learning frameworks work. TensorPlay prioritizes code clarity and architectural simplicity.

Principles

Transparency: every abstraction can be peeled back.
Simplicity: readable implementations come first.
Entry point: familiar Python modules lower the barrier without making compatibility the destination.

Maintainers

TensorPlay is maintained by AI learners, researchers, educators, and open-source contributors under the Apache 2.0 License.