Learning in infinite dimension with neural operators.
A library for Koopman Neural Operator with Pytorch.
[NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
[🔥ICLR26 Oral] RealPDEBench: A Benchmark for Complex Physical Systems with Paired Real-World and Simulated Data
Automatic Functional Differentiation in JAX
[ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
Codomain attention neural operator for single to multi-physics PDE adaptation.
ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
[ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
Official implementation of Scalable Transformer for PDE surrogate modelling
A multiphase multiphysics dataset and benchmarks for scientific machine learning
A curated list of 100+ AI-ready tools for Computer-Aided Engineering, ranked by an AI-Readiness Score (agent-callability: MCP, Python API, CLI, pip). CFD, FEA, SPH, DEM, differentiable simulation, neural operators, PINNs, MCP servers.
Datasets and code for results presented in the BOON paper
No need to train, he's a smooth operator
The first global synthetic dataset for physics-ML seismic wavefield modeling and full-waveform inversion
[TMLR 2026] GIOROM, sampling based model-order reduction for Lagrangian systems
This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation (IEEE TPAMI 2025)
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