idealab-isu / DSALinks
Differentiable Spline Approximations
☆13Updated 2 years ago
Alternatives and similar repositories for DSA
Users that are interested in DSA are comparing it to the libraries listed below
Sorting:
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 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
- ☆24Updated 2 years ago
- ☆39Updated 2 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆68Updated 9 months ago
- The public repository about our joint FINN research project☆38Updated 2 years ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated last year
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆35Updated 5 years ago
- Source code for the ICLR'22 paper on "Half-Inverse Gradients"☆18Updated 3 years ago
- MeshGraphNets (MGN)☆67Updated last year
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Codebase for the Poisson CNN paper☆12Updated 3 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆41Updated last year
- ☆15Updated 2 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 6 years ago
- ☆35Updated 2 years ago
- An extensible benchmark suite to evaluate data-driven physical simulation☆29Updated 3 years ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆28Updated 7 months ago
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆57Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- PyTorch implementation of the Hessian-free optimizer☆36Updated last year
- ☆44Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 7 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- PyTorch-FEniCS interface☆102Updated 4 years ago
- a multiresolution convolutional autoencoder architecture☆22Updated 4 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Updated last year
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆26Updated 10 months ago