tum-pbs / LSIM
LSiM is a learned metric to compute distance values for 2D data from numerical simulations
☆27Updated last year
Related projects ⓘ
Alternatives and complementary repositories for LSIM
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆31Updated 4 years ago
- MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution☆105Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Source code for the ICLR'22 paper on "Half-Inverse Gradients"☆17Updated 2 years ago
- ☆33Updated 3 years ago
- ☆34Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆31Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆17Updated 2 years ago
- Turbulent flow network source code☆57Updated 11 months ago
- ☆31Updated last year
- VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations☆15Updated last year
- ☆34Updated last year
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆18Updated last week
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆49Updated 6 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆54Updated 3 weeks ago
- Towards Learning the Temporal Evolution of Fluid Flow☆65Updated 4 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆36Updated last year
- FluidNet re-written with ATen tensor lib☆51Updated 5 years ago
- ☆11Updated last year
- a multiresolution convolutional autoencoder architecture☆18Updated 3 years ago
- An extensible benchmark suite to evaluate data-driven physical simulation☆24Updated 2 years ago
- jupyter notebooks for the neural nets and differential equation paper☆27Updated 3 years ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆146Updated 2 years ago
- Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow☆23Updated 2 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆23Updated last year
- Pseudospectral Kolmogorov Flow Solver☆34Updated last year
- GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations - …☆19Updated 5 months ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆16Updated 3 years ago