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astroautomata.com | ||
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jxmo.io
A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents. |
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stribny.name
Fields in Artificial Intelligence and what libraries to use to address them. |
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www.depthfirstlearning.com
[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. |
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igorstechnoclub.com
This week I learned something that finally made "transfer learning" click. I had always heard that you can hit strong accuracy fast by reusing a pretrain... |
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