OpenSTL
OpenSTL offers a robust framework for spatio-temporal predictive learning with a variety of methods and use cases. Its modular design facilitates integration and customization for fields like video prediction, weather forecasting, and traffic analysis. The project provides implementations in PyTorch Lightning and naive PyTorch, addressing various technical preferences. Key features include adaptable code design, established benchmarks, a wide array of datasets, and necessary dependencies. The platform's comprehensive documentation, model zoo, and visualization tools enable researchers to effectively engage with and enhance the OpenSTL framework.
