peterparity / conservation-laws-manifold-learningLinks
Discovering Conservation Laws using Optimal Transport and Manifold Learning
☆20Updated last year
Alternatives and similar repositories for conservation-laws-manifold-learning
Users that are interested in conservation-laws-manifold-learning are comparing it to the libraries listed below
Sorting:
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- ☆15Updated 2 years ago
- Neural SPH☆33Updated last year
- Solving Inverse Physics Problems with Score Matching☆30Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆64Updated 7 months ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Updated 4 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 4 years ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- ☆13Updated 4 years ago
- ☆17Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆17Updated 2 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆33Updated last year
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆44Updated last year
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- ☆10Updated 2 years ago
- ☆24Updated 2 years ago
- ☆16Updated last year
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆70Updated 6 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆41Updated 5 months ago
- ☆28Updated 4 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- Code for the paper Universal Physics Transformers☆124Updated last month
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆26Updated 5 months ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 2 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Official implementation of Diffusion Graph Networks (DGNs)☆63Updated 4 months ago