GitHub / measterpojo / Self-supervised-learning-SSL-Contrastive-Domain-Adaptation

Contrastive learning is a powerful self-supervised technique for domain adaptation (DA) in PyTorch. It trains models to bring similar samples (positive pairs) closer and push different samples (negative pairs) apart, which helps in learning domain-invariant features.

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Topics: artificial-intelligence, artificial-neural-networks, computer-vision, contrastive-learning, deep-learning, domain-adaptation, python, pytorch, self-supervised-learning

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