thuml / DeepLagLinks
About Code release for “DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction” (NeurIPS 2024), https://arxiv.org/abs/2402.02425
☆16Updated 10 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 "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆73Updated 4 months ago
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆57Updated last month
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆19Updated last year
- ☆13Updated last year
- ☆43Updated 5 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆58Updated last year
- [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting☆212Updated 10 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆71Updated last year
- Official implementation of Diffusion Graph Networks (DGNs)☆65Updated 5 months ago
- ☆78Updated 2 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆46Updated 2 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- ICON for in-context operator learning☆57Updated 6 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆34Updated last year
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆48Updated 3 weeks ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year
- ☆36Updated last year
- Multiwavelets-based operator model☆63Updated 3 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆50Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated last year
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆24Updated 8 months ago
- ☆12Updated last year
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆102Updated 5 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆42Updated last week
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆53Updated 2 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 8 months ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Updated last year
- ☆21Updated last year
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆202Updated 3 weeks ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆15Updated 11 months ago