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Typed Thin PyTorch Wrapper

Project description - Typed Thin (Py)Torch Wrapper

T3W is a lightweight framework for training PyTorch models written by Yuyao Huang during his PhD at Tongji University.

  • T3W is "typed". It leverages stronger and static typing compared to normal python code for clearer architecture and less bugs. The programming model is object-oriented. Users (you) are required to implement interfaces as subclasses and inject them as dependencies.
  • T3W is "thin". With the philosophy "less is more" in mind, it leverages a minimal self-contained codebase that basically only depends on PyTorch to run. The plugin system under interface ISideEffect makes T3W not only thin, but also highly extensible.
  • T3W stands with "PyTorch".

See the concise example

If you feel like using, you can install it with pip install t3w.

API documentation is currently available at We are going to add more detailed user guide in the future.

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