peterparity / conservation-laws-manifold-learningLinks
Discovering Conservation Laws using Optimal Transport and Manifold Learning
☆22Updated 2 years ago
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:
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Updated 4 years ago
- Solving Inverse Physics Problems with Score Matching☆32Updated 2 years ago
- ☆19Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆67Updated last year
- ☆16Updated last year
- Repository for Deterministic Particle Flow Control framework☆10Updated 3 years ago
- Code for reviewers☆12Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆37Updated last year
- Python Library for Generalized Gaussian Process Modeling☆27Updated 9 months ago
- ☆15Updated 2 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11Updated last year
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 4 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 4 years ago
- Neural SPH☆41Updated 2 months ago
- Equivariant Mesh Attention Networks☆20Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆57Updated 2 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆15Updated 3 years ago
- ☆10Updated 4 years ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆32Updated last month
- ☆30Updated last month
- Learning Green's functions of partial differential equations with deep learning.☆71Updated 2 years ago
- ☆10Updated 2 years ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆90Updated last year
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 3 years ago
- ☆15Updated 2 years ago
- ☆25Updated 2 years ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago