menggedu / DISCOVERLinks
Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning
☆38Updated last year
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 4 years ago
- ☆26Updated 3 years ago
- ICON for in-context operator learning☆61Updated 11 months ago
- ☆24Updated 7 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆32Updated 2 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆168Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- Physics-informed learning of governing equations from scarce data☆167Updated 2 years ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method☆64Updated 3 years ago
- Differentiable Physics-informed Graph Networks☆67Updated 5 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆27Updated last year
- ☆196Updated last year
- Encoding physics to learn reaction-diffusion processes☆110Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆39Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆76Updated 9 months ago
- ☆23Updated last year
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆117Updated 5 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆76Updated 2 years ago
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆93Updated 9 months ago
- Symbolic genetic algorithm for discovering open-form partial differential equations☆44Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆71Updated 4 years ago
- ☆55Updated 3 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆37Updated last year
- Implementing a physics-informed DeepONet from scratch☆56Updated 2 years ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆55Updated 4 months ago
- Physics-encoded recurrent convolutional neural network☆48Updated 4 years ago
- Transformers for modeling physical systems☆147Updated 2 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆51Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆69Updated 4 months ago