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the paper emphasizes joint training of sparse encoder and dense VQ-VAE to optimize the codebook and improve generalization. But in this code joint training has not been done right? is there any reason…
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Hello! Thank you for the clean + user friendly codebase!
I'm trying to finetune the VQ-VAE tokenizer and noticed some keys might be missing from the pretrained checkpoint listed on huggingface: `"o…
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Hi,
Nice work! But I train the VQ code on my own dataset, the codebook loss is 0.0, is this correct?
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### Expected behavior
Link for qml.CRZ navigates to documentation.
### Actual behavior
The page does not exist.
### Additional information
The link for [qml.CRZ](https://pennylane.readthedocs.io/…
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Hi, thank you for the useful package.
It is stated in the [DDI website](https://ddialliance.org/tool/ddi-with-r) that DDIwR is used to "create, edit and validate a DDI Codebook version 2.6, using R…
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I attempt to train the encodec model on a 16kHz dataset with about 50000 waveforms. I am training on 8 gpus on 2 machines. I use tensor_cut = 65536, batch_size = 32(each gpu), ratios = [8,5,4,4], and …
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@matthewhorridge: please add a short description here, and feel free to edit the task title and the use cases below.
Main RADx use cases for this ontology:
- Semantic search, including faceted sea…
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I found `ctx.needs_input_grad[1]` is `False` during training VQ-VAE. Is this correct, and does it mean the embedding of the codebook does not update during training?
https://github.com/ritheshkumar…
zhxgj updated
2 months ago
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您好,您论文中 codebook 是通过训练一个分类器来选择的,但我看代码中好像是直接给的 label 选择的?