This repository maintains a curated list of resources related to capsule networks, a neural network architecture introduced by Geoffrey Hinton designed to better preserve spatial hierarchies in image recognition compared to convolutional neural networks. The list includes foundational papers by Hinton and colleagues, implementations across multiple frameworks such as PyTorch, TensorFlow, and Keras, video lectures, and blog posts. It serves as a reference guide for researchers and practitioners interested in this deep learning approach.