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In order to more easily judge how Fortran developers actually use Fortran in real production codes (this can be useful for issues like #25), let's maintain a list of popular open source Fortran projec…
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Hey peoples,
I've been thinking about this, specifically in the context of @jajcayn's recent findings that the thalamic model is really sensitive to `dt` in the Euler integration scheme. It would be …
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**Describe the bug**
Hi, I am getting the following error. I’m trying to use the A2C algorithm, which samples actions from a Gaussian distribution when given a state. The code seems expects torch.f…
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Update the following URL to point to the GitHub repository of
the package you wish to submit to _Bioconductor_
- Repository: https://github.com/MartinFXP/bnem
Confirm the following by editing e…
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Hi, i tried to train model with only LJ data, and with only own data, with fp16 and with fr32, with 1 gpu and with 3 gpu, but everywhere i have this
![Снимок экрана 2020-05-17 в 19 46 32](https://us…
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Hi @andrefaraujo,
Thank you for your informative blog and for sharing your code. I have a model for semantic segmentation implemented in Keras (let's call it model_A). It is a fully convolutional net…
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Co-authored-by: Benjamin Gorman
### Is your feature request related to a problem? Please describe.
Iteration of [#403] [#407]
- many parameters are constrained to a subset of str
- similarl…
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I am trying to train a two-layer feedforward neural network with a very small amount of data. I have seen that in such cases using a second order optimization method like Levenberg-Marquardt or LBFGS …
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Hey again!
Do you have any advice on how to approach usage of deviation networks on real world datasets?
#### Main concerns when using real world data:
- due to feature engineering many columns…
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Hi, enjoying the package very much.
It's clear that the initial algorithms are focusing on single-output surrogate models i.e. f: R^n -> R. There is a broad class of problems which would benefit fr…