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No plan but happy to discuss and consider possibilities. The notebooks in this repo are designed for demonstration purposes, to clarify the concepts of the paper, demonstrate a practical implementation and show results. The industrial-strength code developed in Danske Bank's proprietary systems is very different.
I was mainly thinking of the possibility of writing native Python and Numpy code at least in the prototyping stage and then leverage JAX to speed things up on accelerators.
Is there any plan to leverage tools like JAX (autograd+XLA)?
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