Super-Selfish: Self-Supervised Learning onImages with PyTorch

Nicolas Wagner, Anirban Mukhopadhyay

Super-Selfish is an easy to use PyTorch framework for image-based self-supervised learning. Features can be learned with 13 algorithms that span from simple classification to more complex state of theart contrastive pretext tasks. The framework is easy to use and allowsfor pretraining any PyTorch neural network with only two lines of code. Simultaneously, full flexibility is maintained through modular design choices. The code can be found at and installed using pip install super-selfish.

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