DynaBench documentation

Date: Sep 12, 2024 Version: 0.3.7

Useful links: Install | Source Repository | Dataset |

DynaBench (pronounced “Die-Nah-Bench”) is an open-source benchmark dataset for evaluating deep learning models for all sort of task concerning physical spatiotemporal systems. The DynaBench package started as a benchmark dataset for learning dynamical systems from low-resolution data. It has since evolved into a full-fledged package for generating synthetic data, training models, and evaluating them on various tasks concerning partial differential equations. The package is designed to be easy to use and flexible, allowing for easy extension and modification of the existing models, data generation algorithms and physical equations.

Getting Started

The Getting Started guide will help you get started with DynaBench. It shows how to download the data use our data iterator.

To the guide

API reference

The reference guide contains a description of the DynaBench components.

To the API reference

Benchmark results

The benchmark results show the performance of different models on the DynaBench dataset.

To the results

Papers

Here’s a list of all papers that use the DynaBench dataset and benchmark.

To the paper list.