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Dear authors,
Thanks for the excellent work! About VQVAE for embedding image to latent, you have provided the pre-trained model. Could you please share the training and testing code and instruction f…
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### Source / repo
https://github.com/StanfordMIMI/CompRx
### Model description
Medical images are often acquired at high resolutions (>1 megapixel) in order to capture fine-grained details necessary …
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**Submitting author:** @mrazomej (Manuel Razo-Mejia)
**Repository:** https://github.com/mrazomej/AutoEncoderToolkit.jl
**Branch with paper.md** (empty if default branch): publication
**Version:** v0.0…
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Paper: https://arxiv.org/abs/1312.6114
Example implementations (non-official): https://github.com/clementchadebec/benchmark_VAE
osbm updated
9 months ago
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Train a basic non-convex variational autoencoder. Once it is trained, remove the basic decoder, keep the encoder, and retrain the decoder using a vNN
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For purposes of utterance encoding, gesture encoding and facial expression encoding, we shall first appeal to a nonlinear solver technique for extracting the relevant features due to what is expected …
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Hello there,
_I'm not sure if this is a proper place to ask such a question - if not, please guide me to a place where I can find some help._
Is it possible now to implement Variational Autoencod…
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http://www.quantum-machine.org/workshops/nips2017/assets/pdf/sdvae_workshop_camera_ready.pdf
Won best paper award at the NIPS 2017 molecules workshop. Provides a significant boost in the fraction o…
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The code below is causing an error. There seems to be a problem with batch_size.
vae.fit(x=x_train, y=None,
shuffle=True,
epochs=10,
batch_size=batch_size,
valid…