Credits¶
Author¶
Aleksandra Ciprijanovic GitHub: @AleksCipri
ShiftKit was developed as a modular, research-friendly domain adaptation framework for PyTorch, with a focus on clean interfaces and extensibility.
Dependencies¶
ShiftKit builds on the following open-source libraries:
| Library | Version | Use |
|---|---|---|
| PyTorch | ≥ 2.0 | Deep learning backend |
| torchvision | ≥ 0.15 | Built-in datasets (MNIST) |
| NumPy | ≥ 1.24 | Numerical operations |
| scikit-learn | ≥ 1.2 | t-SNE for latent space visualisation |
| matplotlib | ≥ 3.7 | All plotting and diagnostics |
| tqdm | ≥ 4.65 | Training progress bars |
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Licence¶
ShiftKit is released under the Apache License 2.0.