mhough/spinning-up-in-pde

数据集Spinning Up in PDE Solvers是一个关于计算偏微分方程（PDE）求解器的课程，涵盖了从早期数值方法到现代可微分物理和神经算子的历史发展。课程包含12个模块，涉及多种数值方法、伴随和自动微分、可微分求解器、物理信息神经网络（PINNs）、神经算子等。该数据集旨在为学习者提供基础理解，以便更好地阅读基准论文。它是Hugging Face Science Discord的一部分，属于教育计划。

The dataset Spinning Up in PDE Solvers is a curriculum focused on computational PDE (Partial Differential Equations) solvers, tracing the historical development from early numerical methods to modern differentiable physics and neural operators. The curriculum includes 12 modules covering various numerical methods, adjoint & AD, differentiable solvers, PINNs, neural operators, and more. It is designed to provide a foundational understanding before diving into benchmark papers. The dataset is associated with Hugging Face Science Discord and is part of an educational initiative.