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As per the readme file, I have changed some values in the arguments to make the model easier to train. Since, I have only one gpu, I have change num_process_per_node to 1.
But I am getting this er…
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I made this project quite a while ago and despite it not being up to my current standards, it seems to have garnered the most interest out of anything else I have done. Therefore, I'll be refactoring …
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# What kind of data to parse
We expect time-series of observables, correlation matrices and so on but *not* datafiles which need to be parsed.
Provide functions for calculating observables from fu…
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Hi,
maybe a quite simple question but in your Regression example you pass the
`'nll_func':
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Currently, the imputation of the triplet variable production, area harvested and yield are processed in a specific sequence and namely yield first, then production and balance the area harvested.
Th…
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Currently, models utilising DenseVariational fail to save (in my experience), because of them lacking a get_config method. Is there any timeline on when this might be implemented?
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**Issue by [dustinvtran](https://github.com/dustinvtran)**
_Friday Jul 10, 2015 at 20:43 GMT_
_Originally opened as https://github.com/stan-dev/stan/issues/1538_
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[`write_iteration_csv(...)`](h…
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- [x] [Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour](https://arxiv.org/abs/1706.02677) by **Facebook** 👉 [mynote](https://github.com/towerjoo/myML/blob/master/papers/weekly/train_ima…
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Abstract: Disentangled representations, where the higher level data generative factors are reflected in disjoint latent dimensions, offer several benefits such as ease of deriving invariant representa…
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**Is your feature request related to a problem? Please describe.**
I would like to take a draw from MCMC or an optimum and use it as an init in `$sample()`, `$optimize()`, or `$variational()`.
I…