awesome-test-time-adaptation
Find a curated collection of resources on test-time adaptation methods, such as source-free domain, batch, instance, online, and prior adaptations. The repository includes datasets and critical insights for researchers dealing with distribution shifts. Improve understanding of methods applied in test phases and keep updated with recent advancements in the field. Engage with state-of-the-art solutions for adapting machine learning models to new data without retraining.
