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Hi, thank you for this very interesting work! I'm currently trying to train the vq-gan part on my few-shot dataset (e.g. ~300 dog or cat images) with resolution 256x256. However using the default sett…
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...anything you think we should talk through in a phone call...?
dump your suggestions below
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### Fast Pytorch dequantize() + matmul
I would like to open the discussion about faster inference with quantized models using pure Pytorch calls.
As you know, quantization is extremely importan…
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Here we want to upload any charts or graphs we create (ex. pie charts, histograms, etc.). You may want to include a description, brief analysis, or explain the importance of the chart/graph.
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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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Hi,
Thanks for providing this important work as open source. I noticed in the paper that there's an ablation carried out for different sizes of the codebook. For certain applications I am intereste…
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## Proposal Review
**Reviewer**: Professor Baker
**Date**: 03/14/2022
### Section 1 - Introduction:
The introduction should introduce your general research question and your data (where it ca…
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Hi. I have a couple questions regarding how motion tokens are fed in in inference and training. I have an array of SMPL parameters (pose, beta, etc.).
- Do I have to convert it into a .ply file of a …
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Hey, this was a fantastic repo I found in my research from the last few weeks I am trying to understand some code things from your repo is it possible for you to solve my issue below written
1. The…
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So we have a serious issue where a dataset for a given year can sometimes have as many as 30k variables...unfortunately many of them are fully/mostly blank. So we either have to:
- Use forward sele…