menggedu / EDLLinks
Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics
☆12Updated 8 months ago
Alternatives and similar repositories for EDL
Users that are interested in EDL are comparing it to the libraries listed below
Sorting:
- ☆24Updated 5 months ago
- ☆19Updated last year
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆39Updated 11 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29Updated 6 months ago
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆44Updated 3 weeks ago
- ICON for in-context operator learning☆59Updated 9 months ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆62Updated 2 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆30Updated 2 weeks ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆30Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆23Updated 6 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆35Updated last year
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆25Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆41Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆23Updated 3 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆35Updated 5 years ago
- ☆15Updated 5 years ago
- ☆23Updated last year
- [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training☆38Updated 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
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆49Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- ☆20Updated last month
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆26Updated last year
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆29Updated 3 weeks ago
- Neural Galerkin☆16Updated 2 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 4 years ago