[PyTorch Hub](https://pytorch.org/hub/) is a pre-trained model repository and a platform for sharing, discovering, and reusing machine learning models built with [[PyTorch]]. It provides a centralized hub where users can find and download various pre-trained models for tasks such as image classification, object detection, text generation, etc. The main goals of PyTorch Hub are to simplify the process of using pre-trained models and to promote collaboration and knowledge sharing within the PyTorch community. It allows researchers and developers to publish their trained models in a standardized format, making them readily available for others to use. PyTorch Hub supports both models trained on popular datasets like ImageNet or COCO and custom models trained on user-specific data. It also provides easy integration with other PyTorch-based projects, allowing users to quickly load and use pre-trained models in their own applications. In addition to model sharing, PyTorch Hub offers utilities for fine-tuning pre-trained models, benchmarking model performance, and visualizing model predictions. It also provides an API that enables programmatic access to the repository's functionality. Overall, PyTorch Hub serves as a valuable resource for the PyTorch community by facilitating the discovery, usage, and improvement of pre-trained deep learning models.