menggedu / DISCOVERLinks
Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning
☆39Updated 9 months ago
Alternatives and similar repositories for DISCOVER
Users that are interested in DISCOVER are comparing it to the libraries listed below
Sorting:
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 3 years ago
- ☆26Updated 3 years ago
- ☆22Updated 3 months ago
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆76Updated 5 months ago
- ICON for in-context operator learning☆59Updated 7 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆34Updated last year
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both …☆16Updated last year
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆28Updated 5 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆155Updated last year
- Physics-informed learning of governing equations from scarce data☆150Updated 2 years ago
- Physics Informed Fourier Neural Operator☆23Updated 10 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training☆39Updated 2 years ago
- ☆154Updated 11 months ago
- Encoding physics to learn reaction-diffusion processes☆104Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆51Updated last year
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆24Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 9 months ago
- Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics☆12Updated 6 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆61Updated last year
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆22Updated last year
- ☆59Updated last month
- Implementing a physics-informed DeepONet from scratch☆46Updated 2 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆43Updated 2 weeks ago
- ☆37Updated 3 weeks ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆104Updated 3 weeks ago
- Physics-informed deep super-resolution of spatiotemporal data☆47Updated 2 years ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆58Updated 7 months ago