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Hello,
I'm thinking about adding a plot.BTM function to my BTM package using ggraph. BTM is good for clustering text (https://cran.r-project.org/web/packages/BTM/index.html).
In order to have a go…
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Hi there,
there is a bunch of cool examples. However, I am missing an example with Keras. It would be great to have one. I wanted to create a bayesian NN using defining the network architecture using…
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**Submitting author:** @cddesja (Christopher Desjardins)
**Repository:** https://github.com/cddesja/profileR
**Version:** v0.3-6
**Editor:** @marcosvital
**Reviewers:** @wjakethompson, @jrosen48
**Ar…
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Hi! Thanks for your implementation, great work. I am still learning about mixture density networks and have a question relating to the amount of output parameters.
In this implementation it seems …
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I'm running the following code to test different input shapes for DeepIV Estimator. I've been able to change input shapes via the input dimensions so far. The problem is that I've only been able to ha…
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Hello.
Despite being apparently related to other issues pointed by previous users, I am trying to implement by means of a mixture density network.
I am trying to implement the following architecture…
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# Research directions
- [ ] Multiscale mapper.
- [ ] persistent homology of mapper - include visualization of barcode
- [ ] choose the most stable mapper based on barcode
- [ ] Implement par…
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Thanks for your great work!
I have questions regarding the evaluation speed of each step.
How long does the used feature extractor and especially the hypothesis generator take for the calculation?
…
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I was wondering if the deepiv pacakge has causal inference built in? For example, in the causal random forest package, a confidence interval can be estimated for the treatment effects. Is there simila…