Transfer Learning

context, please.
what exactly do you want to replace ?

Looping in general is what I’m trying to avoid. I’m just looking for a silver bullet LOL

However, I did get numba working, using Python 3.9.11, numpy 1.21.5, and numba 0.55.1. It runs magnitudes of order faster now! See mc_gpu.py in the repository.

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(runs at 60 fps realtime on my cheesy, 10 yrs old thinkpad)

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Very nice find berak :slight_smile:

I’ve calculated the meshes generated by AI and by ground truth. They are quite similar.

I have started Appendix C in my paper, to display Figure 15.

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I tried using the CRUTEM5 weather station data. I am trying to train the PyTorch network to do regression, so that I can forecast the global warming from 2020 to 2050. The network doesn’t work. I am wondering if I’m training it properly. So, given two input dates (a range, or span of time), the network spits out the mean and standard deviation, in terms of degrees C per decade. The code is at GitHub - sjhalayka/crutem5_python

Sorry to necro a dead thread.