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Thanks for your excellent work and opening source! I have a few questions as follows:
1. Since it may take days or weeks to pre-train it again. Can you provide the pre-trained tts model checkpoint? I…
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I'm using a clean 40hr dataset, female American, that I used on tacotron with good results. I've trained on VITS twice now and it starts over fitting around 70K. It's definitely intelligible and in th…
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The PCG generator used by Numpy has a significant amount self-correlation. That is, for each sequence generated from a seed there is a large number of correlated, nonoverlapping sequences starting fro…
vigna updated
6 months ago
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### Week 1 - Get to know the community
- [x] Join the communication channels
- [x] Open a GitHub issue (this one!)
- [x] Install the Ersilia Model Hub and test the simplest model
- [x] Write a motiva…
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_Note, this is part of the [2020 Theme Proposals Process](https://github.com/ipfs/roadmap/blob/master/2020-IPFS-Project-Planning.md) - feel free to create additional/alternate proposals, or discuss th…
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https://arxiv.org/abs/1706.04987
deepmind
Auto-encoding generative adversarial networks (GANs) combine the standard GAN algorithm, which discriminates between real and model-generated data, with…
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After downloading the code, I follow the instructions provided and run the code on the DG-15 dataset without any modification. However, the accuracy is very low on DG-15 (64% total accuracy). Do you k…
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**Submitting author:** @pswpswpsw (Shaowu Pan)
**Repository:** https://github.com/dynamicslab/pykoopman
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.3
**Editor:** @olexandr-k…
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Hi, thanks for sharing the code! I would like to ask for some details about the structure learning experiment.
In Table 3 you showed the number of total removed edges, removed adversarial edges, and …
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Hi,
Nice work!
I use ImageNet validation data as ID data, but accidentally use part of ImageNet training data (`n06359193/ n06596364/ n06785654/ n06794110/ n06874185/`) as OOD data.
`
python t…