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**Summary !!!**
- **BioModel Name**: Beker2020 - Drug-likeness prediction based on Bayesian neural networks
- **BioModel Tag**: Machine learning model, Ersilia, FAIR AIML
- **Metadata Comment…
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- [x] Figure out how (or if) they sample variance of ensemble of networks.
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Hi,
Thank you for your work on the package! I am currently updating a project to v1.0 and am having some troubles with Bayesian networks.
The documentation [here](https://pomegranate.readthedocs.i…
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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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The existing test suite is essentially non-existent. Given the ongoing changes to the model interface, it's essential there's a set of tests that give decent assurance that the behaviour of the models…
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Implementation of the following:
- [x] Naive Bayes
- [x] Gaussian Naive Bayes
- [x] Multinomial Naive Bayes
- [ ] Averaged One-Dependence Estimators (AODE)
- [ ] Bayesian Belief Network…
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We need to be able to apply the testing data to a learning framework.
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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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This is from [Autoregressive Models Chapter](https://deepgenerativemodels.github.io/notes/autoregressive/)
> To see why, let us consider the conditional for the last dimension, given by $p(x_n|x_{\lt…