A new open source framework for automatic differentiation with graphs

A new open source framework for automatic differentiation with graphs

 

“GTN is an open source framework for automatic differentiation with a powerful, expressive type of graph called weighted finite-state transducers (WFSTs). Just as PyTorch provides a framework for automatic differentiation with tensors, GTN provides such a framework for WFSTs. AI researchers and engineers can use GTN to more effectively train graph-based machine learning models…”

Source: https://ai.facebook.com/blog/a-new-open-source-framework-for-automatic-differentiation-with-graphs

Paper: https://arxiv.org/abs/2010.01003

Code: https://github.com/facebookresearch/gtn

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