AdvSegLearn
Descriptor
This package creates an easy to use api for training models on small datasets with adversarial learning. Important classes are:
- Mutliclass_dataset - allows for both paired and unpaired images to be loaded, with built in support for initalized data augmentation and lazy loading data augmentation.
- train_GAN - provides api to easily load in different models, datasets and loss functions to the model. Subclassing allows for easy modification of the training loop.
- semi_supervised_loss - a loss function for the semisupervised training loop.
- adversarial_loss - a loss function for hte unsupervised training loop.
License
This package is licensed under the MIT LICENSE.
Release files for AdvSegLearn 1.0.5
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| advseglearn-1.0.5.tar.gz | 13.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| advseglearn-1.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.7 kB
Release files / advseglearn-1.0.5.tar.gz
| Download URL | advseglearn-1.0.5.tar.gz |
|---|---|
| Size | 13.5 kB |
| Tags | Source |
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Transparency logRelease files / advseglearn-1.0.5-py3-none-any.whl
| Download URL | advseglearn-1.0.5-py3-none-any.whl |
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| Size | 17.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Provenance
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