sebastianberns
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Compute ‘clean’ features via pre-trained embedding models

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Compute the FID between two data sources on clean features

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Final project, Master in Artificial Intelligence, UPC BarcelonaTech

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Events

Dataset sampler argument

Created at 5 days ago

Device switching recommendations

Created at 5 days ago
Created at 1 week ago
create branch
sebastianberns create branch main
Created at 1 week ago
create repository
sebastianberns create repository
Created at 1 week ago

Bug fix: channel augmentation

Created at 1 month ago

Fix bug when loading targets

Created at 2 months ago
Created at 2 months ago
Created at 2 months ago

Link to Resize readme

Created at 2 months ago

Initialize with CleanFeatures instance

Created at 2 months ago

Link to Resize readme

Created at 2 months ago

Resize input can be PIL Image or Tensor

Normalize range per channel after resize

Prevent division by zero

No channel augmentation by default

Resize readme

Fix tensor W, H confusion

Match number of channels to output requirements

Created at 2 months ago

Improve Resize constructor arguments

Check for Tensor input

Created at 2 months ago

Support datasets without targets

Created at 2 months ago

Add compute_feature_statistics documentation

Created at 2 months ago

Correct model-specific constructor arguments

Example use case

Created at 2 months ago
started
Created at 2 months ago
create branch
sebastianberns create branch main
Created at 2 months ago

Fix type hints

Update and improve README

Created at 2 months ago