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Hi, nice work about Variational Autoencoder on recommendation. However, I am confused about the method of data split which is the same way as 2018WWW-Variational autoencoders for collaborative filteri…
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Hello, everyone!
I was able to train, quantize and compile the model following the Denoising Variational Autoencoder with TensorFlow2 and Vitis AI procedure.
When I run app_my.py on the KV260, t…
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Hi,when i run this code ,i got error!
/root/miniconda3/bin/python /root/PycharmProjects/variational-autoencoder/main.py
Traceback (most recent call last):
File "/root/PycharmProjects/variationa…
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I have just read the paper and moved into the source code. I was wondering what they are "psi", "H", "iw", and "vec", "star"
Could you kindly provide a explanation?
Thank you very much!! :)
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SMILES_200Features.csv file not able to find in project
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https://doi.org/10.1101/199315
>Single cell RNA sequencing (scRNA-seq) is a powerful technique to analyze the transcriptomic heterogeneities in single cell level. It is an important step for studyi…
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Link mistake in VAE method:
Gradient-based methods
- An explicit loss-based method described in [Mothilal et al. (2020)](https://arxiv.org/abs/1905.07697) (Default for deep learning models).
…
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This is a general question about reconstructing data after training the VAE, that is, passing the original data into the encoder and decoder...
In the code examples of these VAEs, the reconstructio…
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I am creating this issue to remember to experiment with leaky relu instead of relu while creating pose embeddings.
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This *may* not be the best framework for it, but it would be a good exercise to see how it looks compared to competing frameworks, e.g. Keras, Edward.