Captum is an advanced tool designed for enhancing the interpretability of machine learning models built on PyTorch. It supports a variety of modalities, including vision and text, enabling researchers to easily implement interpretability algorithms that work seamlessly with their PyTorch models. With comprehensive tutorials and a user-friendly API, Captum simplifies the process of understanding model behavior through techniques like Layer Conductance, GradCAM, and DeepLift. Whether you're analyzing sentiment in text or interpreting complex neural networks, Captum provides powerful insights to help you make sense of your models.