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I think your job is very meaningful and exciting!But I am a little confused about the description of Sliced Wasserstein distance.
**"The general idea is to compute an approximation of the Wasserstein…
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Hi,
I'm now studying your paper "Max-Sliced Wasserstein Distance and its use for GANs". I want to study the supplementary material, but I cannot find it on the net. Would you please give me a addr…
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The following evaluation metrics need to be implemented
- [x] Inception Score
- [ ] Frechet Distance
- [x] Classifier Score measured with a custom user-trained classifier
- [ ] Sliced Wasserstein …
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Sorry to bother, I saw you used SWD (sliced wasserstein distance) in the paper, and I also want to use this score as a metric for some tests. Could you offer your code to calculate it? thanks!
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## 一言でいうと
ドメインの異なる潜在表現(音声と画像など)を転移させる研究。双方の潜在表現を共通の潜在表現から生成するためのブリッジ用VAEを学習するという形。このVAEは、各ドメインの潜在表現の復元に加え、それらの分類、また意味が同一の場合(「4」という画像と音声など)の距離最小化から学習する。
![image](https://user-images.githubusercon…
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how can i find the implementation of figtreeKCenterClustering.m
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Dear Tituoan,
thanks for making this -- I'm adding FGW to make sliced FGW
for whatever reason, this fails right now:
```
s_samples, t_samples = 100, 200
n_projections = 5
dimensionality = 8…
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### Expected behavior
In a study with ~160 trials, only 47 trials have a parameter present, in all others it is missing in the database. The parameter is essential for running the model.
defined a…
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Coming back to this repo after a long break, interested in [developing this](https://github.com/ProGamerGov/neural-style-pt/issues/46) further...
I was just comparing this implementation to [the or…
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track change of tf