One of the common criticisms of deep learning has been it’s black box nature. To address this issue, researchers have developed many ways to visualise and explain the inference. Self-explainable models are necessary to push deep learning models into various domains. This library is an ongoing effort to provide a high-level access to such models by building on top of PyTorch. Here is what you can expect to visualize from a trained model.