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www.hongliangjie.com
| | jxmo.io
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| | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.
| | jaketae.github.io
2.1 parsecs away

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| | "I think that's very unlikely." "No, you're probably right."
| | colinraffel.com
4.0 parsecs away

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| | www.depthfirstlearning.com
18.6 parsecs away

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| [AI summary] The user has provided a detailed and complex set of questions and reading materials related to normalizing flows, variational inference, and generative models. The content covers topics such as the use of normalizing flows to enhance variational posteriors, the inference gap, and the implementation of models like NICE and RealNVP. The user is likely seeking guidance on how to approach these questions, possibly for academic or research purposes.