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I was exploring other PGM libraries as suggested by @khalibartan in #588 , i have found [this](http://www.bnlearn.com/documentation/man/bn.cv.html) in bnlearn.
I was wondering about the possibility o…
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> [!NOTE]
> If you have a request to support a specific method, or would like to see priority of one of the listed methods, please open a separate issue, so it won't get buried in this thread. Base…
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I've read through the documentation and notebooks for Continuous Factors several times, but there is still a big gap between what is written there and what I need to know to create an actual Bayesian …
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Integrated [`pgmpy`](https://pgmpy.org/) for *statistical inference* in [Bayesian networks](https://en.wikipedia.org/wiki/Bayesian_network).
Depends on: #26
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Write notebook on bayesian neural networks
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Hi there,
I'm actively developing and maintaining a package on Bayesian nonparametrics in julia:
[BayesianNonparametrics.jl](https://github.com/OFAI/BayesianNonparametrics.jl)
which was presente…
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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Hi,
I am trying to use tensorflow probability to learn a Bayesian neural networks. I want to learn the responses y_t based on input features x_t, i.e.
` y_t = f(x_t) + eps`
where f(x_t) is th…
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The paper "Likelihood-free parameter estimation with neural Bayes estimators" (Sainsbury-Dale, Zammit-Mangion, & Huser, 2023) enables neural amortized *point* estimation, which is generally faster tha…
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### Subject of the issue
How to entering soft (uncertain evidence) in discrete Bayesian networks?
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Terminology definition:
Hard evidence: if we are 100% sure (this is observation True)
Soft …