PyTorch Gradient Reversal Layer

pytorch-revgrad is a minimalist PyTorch package that provides a gradient reversal layer (GRL) as both a module and a function. This layer is commonly used in domain adaptation techniques, such as Domain-Adversarial Neural Networks (DANN), to encourage feature extractors to learn domain-invariant representations by reversing the gradient signal for a subsequent domain classifier. The current version, `0.2.0`, was released in January 2021, and the library maintains a low release cadence, indicating stability for its core functionality.