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This is really an exploratory question about implementing a Bayesian layer in Equinox. My research requires Bayesian neural networks, and I've been playing with Equinox to see how it stacks up to Flax…
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Hi I read your paper _Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation_, and really want to try TIRT on my dataset, but I can't find the code in th…
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None of these are necessary, I'm just listing them to keep track of all the possible small-ish changes that might improve performance or reduce the need for resources:
Normalizations:
- [ ] [Bat…
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I used Bayes net toolbox to create a Bayesian network and an influence diagram, but I want to display the two graphs, which tools can i use to display the two networks in terms of graphs?
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I'm trying to train a bayesian LSTM to predict remaining useful lifetime using windows of ten samples with roughly 600 features. I previously trained a conventional LSTM in tensorflow and therefore re…
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Lately, a lot of active learning methods have been developed for deep neural networks. Some of these state of the art methods are considered as a standard benchmark when comparing various active learn…
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### Subject of the issue
We have some explicit gradient functions for gaussian distribution https://github.com/pgmpy/pgmpy/blob/dev/pgmpy/sampling/base.py#L97. If we replace this with one of the auto…
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An agent might get trapped in a local minima or might keep on visiting the same places again and again. While this might be good from an exploitative point of view, since its going to positions which …
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* django-ai version:0.0.2.1
* Django version:2.0.10
* Python version:3.6
* Operating System:Windows 10
### Description
I have created a Django project and then trying to integrate django-ai w…
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Hi Ian,
Instead of using standard correlation tests (Pearson, Spearman and Kendall) have you considered using a normalised variant of mutual information to capture nonlinear relationships between p…