Tag: PyTorch

Fourier Neural Operator / Beginner Tutorial

Systematic FNO from theory to code - for engineers and researchers wanting neural operators as PDE surrogates.

PDE Benchmark / Differentiable Solver

Microsoft Research's open-source PDE benchmark suite with differentiable solvers and spatiotemporal dynamics data for evaluating long-horizon rollout stability.

Multiphysics / PDE - 16 Domains

Unified benchmark spanning 16 physical domains, dubbed the 'ImageNet moment of physical ML', with PyTorch API, pretrained baselines and HF streaming.

PDE Solving

DeepXDE v1.15.0 released with L-LAAF activation function support for JAX backend and Apple MPS GPU acceleration for PyTorch backend, improving deep learning-based PDE solving performance.

Scientific Computing

NeuralOperator 2.0.0 major release introduces Codano model, improves documentation, and enhances usability for training Neural Operators in PyTorch.

ScientificML

PhD course lecture notes from University of Bozen/Bolzano covering Physics Informed Neural Networks and Neural Operators with PyTorch implementation tutorials.