VAE notebooks (copilot-generated)#10
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Overall, I think the notebooks can be a good starting point. Our VAE implementation has a comparable structure (and is also based on other notebooks/implementations). Of course, there some details one should check (e.g. the last sigmoid layer of the decoder, which can work fine with BCE Loss and MinMax scaled input, but not with other stuff) + some nicer visualizations and figures. Especially the latent space should colored by the digit class. |
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This PR adds some notebooks about Variational Auto-Encoders.
These notebooks are AI-generated (using github copilot workspace + gpt4omni). I just ran them in this environment and they worked just fine. I'm now wondering if these are useful, a potential starting point for modifications of if we should start from scratch.
@jan-forest and @MaxJoas would you mind taking a look and letting me know what you think?
Big thanks!
closes #1