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## Reason
`GBAnisotropy` allows specifying grain boundary energy and mobility parameters for individual grain boundaries as defined by order parameter pairs. When using grain tracker order parameters…
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I want to reproduce in gpytorch what is described in the section **Use as an output cross-covariance** in [this paper](https://arxiv.org/abs/2010.15538).
In short, the authors define a kerne…
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#### Summary
Any object returned by sampling should allow `.summary()` to be called on it to report mean, sd, MCMC SE, quantiles, and R-hat. This includes objects returned by
* `CmdStanMCMC`: M…
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Research in to simple implementation with Keras.
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add sections on rnn, lstm, gru, vae, etc used before transformers
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Hi,
i am attempting to build a equivariant Variational Encoder-Decoder framework.
For this I am using R2Conv() and R3(Conv) layers in the encoder with trivial-representation input & output and …
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# Description
This project aims to study the feasibility of using current Quantum Computing devices to implement a method to compute the [Euler-Rodrigues Parameters (ERP)](https://en.wikipedia.org/wi…
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I am trying to implement a model using the bayesian lstm layer given I already have a model that relies on lstm and it gets good results for a classification task.
When I use the bayesian layer the l…
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# 📚 Documentation/Examples
There are 3 main classes of models that extend the reach of GPs to unsupervised learning. I think we need some docs on how to use the ApproximateGP class to build the fol…
vr308 updated
3 years ago
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Hi,
I have noticed that the predictions with the sts package are sometimes inconsistent over multiple runs, especially when the model is fit with a variational inference surrogate. Running the same …