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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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I am trying to directly generate realizations of stochastic processes via spectral representation method, using the following code snipped:
```
ω = collect(0:0.6:150)
cp = CloughPenzien(ω, 0.1,…
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It is not explained why the Wasserstein distance is used, and why no other? Could other divergence metrics be used? Wasserstein seems to appear in the code but not in explanations
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Once we have decided on the specifics of our model, we need to do two processes: Compile the model and fit the data to the model.
We can compile the model like so:
`model.compile(optimizer='sgd', l…
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Specs
```
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Mon_Oct_12_20:09:46_PDT_2020
Cuda compilation tools, release 11.1, V11.1.105
Build cuda_11.1.T…
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# Challenge 23 - FloodMule: a machine learning emulator of the LISFLOOD hydrological model
> **Stream 2** - Machine Learning for Earth Science
### Goal
Emulate LISFLOOD to reduce significantl…
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Hi Rose,
The recent commit changed x_tp1=x_tp to x_tp=x_tp1 (https://github.com/rosewang2008/language_modeling_via_stochastic_processes/commit/cb3d3454433d821c606bc224d42ee81b7cd3754f?diff=split?),…
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Right now we have functions related to synchronization but there are far more dynamics we could implement. Right now there are external packages (hypercontagion, simplicial-kuramoto) which are package…
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Great package, works very well.
It could be useful to add some examples to the README.
Here's one I made for the logistic growth model:
https://gist.github.com/yoavram/5550c3f5daf1772e8352