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> PyMC3 is a probabilistic programming module for Python that allows users to fit Bayesian models using a variety of numerical methods, most notably Markov chain Monte Carlo (MCMC) and variational inf…
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Would it be possible to add support for [admonitions](https://python-markdown.github.io/extensions/admonition/) being rendered in markdown cells. I'd be happy to contribute to this too if needed
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How you doing? First, very cool program! This might be an issue, and it might be me not fully understanding TensorFlow or MDN. I used your MDN example on multidimensional data, and it works as I hoped…
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Hello, I was wondering what my options were for scaling GPs to large data (1M) and high dimensions (1K).
If I wanted to use Exact GPs I suppose I could use [MultiGPU GPs](https://docs.gpytorch.ai/e…
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Need to test out Variational Bayes in Pystan. It may be the only appropriate inference technique for large fields
pdh21 updated
4 years ago
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I'm trying to get stansample.jl working on Windows10 and Julia 1.5.3. I've installed cmdstan and can successfully use it from the command line. I'm running into an issue with the bernoulli.jl file fro…
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I’ve been reading through the deep review paper and noticed that there is not a Methylation section in this paper. There are a number of issues that have been brought up regarding the inclusion of met…
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# 📚 Documentation/Examples
Hi,
In my problem, the outputs are constrained to [0,1]. I wonder if there's a way to impose this nonnegativity in gpytorch. Currently, the outputs I got expand to
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## Minibatch ADVI TypeError
I recently upgraded from from version 3.2 to 3.3 and my existing code for minibatch ADVI fails on a basic logistic regression example.
Specifically, I'm getting this er…
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**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow): yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 18.04
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