thuml / DeepLagLinks
About Code release for “DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction” (NeurIPS 2024), https://arxiv.org/abs/2402.02425
☆16Updated 9 months ago
Alternatives and similar repositories for DeepLag
Users that are interested in DeepLag are comparing it to the libraries listed below
Sorting:
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆57Updated 3 weeks ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆72Updated 3 months ago
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆19Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆57Updated last year
- ☆13Updated 11 months ago
- ICON for in-context operator learning☆56Updated 5 months ago
- [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting☆211Updated 9 months ago
- ☆77Updated 2 years ago
- ☆43Updated 4 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆195Updated 2 weeks ago
- A Library for Advanced Neural PDE Solvers.☆172Updated last month
- ☆21Updated last year
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆62Updated 3 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆69Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated last year
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆100Updated 4 months ago
- Official implementation of Diffusion Graph Networks (DGNs)☆63Updated 4 months ago
- Encoding physics to learn reaction-diffusion processes☆101Updated last year
- ☆12Updated 11 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 8 months ago
- Multiwavelets-based operator model☆63Updated 3 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆90Updated 7 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆49Updated last year
- Adaptive FNO transformer - official Pytorch implementation☆263Updated 2 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆135Updated 10 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆39Updated 6 months ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆50Updated last month
- [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion☆26Updated 5 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆25Updated 9 months ago