TUM Physics-based Simulation (@tum-pbs)

Top repositories

1

PhiFlow

A differentiable PDE solving framework for machine learning
Python
1,468
star
2

pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.2)
Jupyter Notebook
992
star
3

Solver-in-the-Loop

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Python
145
star
4

PhiML

Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
Python
68
star
5

autoreg-pde-diffusion

Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
Jupyter Notebook
68
star
6

DMCF

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
Python
49
star
7

Diffusion-based-Flow-Prediction

Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"
Jupyter Notebook
43
star
8

differentiable-piso

Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
JavaScript
35
star
9

dl-surrogates

C++
31
star
10

LSIM

LSiM is a learned metric to compute distance values for 2D data from numerical simulations
Python
27
star
11

coord-trans-encoding

This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"
Python
26
star
12

CG-Solver-in-the-Loop

Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"
Python
24
star
13

ConFIG

Official implementation of Conflict-Free Inverse Gradients Method
Python
24
star
14

SMDP

Solving Inverse Physics Problems with Score Matching
Jupyter Notebook
21
star
15

Global-Flow-Transport

Repository for our CVPR 2021 Global Flow Transport Paper
C++
19
star
16

half-inverse-gradients

Source code for the ICLR'22 paper on "Half-Inverse Gradients"
Python
17
star
17

VOLSIM

VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations
Python
15
star
18

SIP

Scale-invariant Learning by Physics Inversion (NeurIPS 2022)
Python
10
star
19

DiffPhys-CylinderWakeFlow

Jupyter Notebook
9
star
20

StableBPTT

The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"
Python
9
star
21

unrolling

Python
6
star
22

reconstructScalarFlows

ScalarFlow Reconstruction for Large-Scale Volumetric Data Sets of Real-world Scalar Transport Flows
5
star
23

SFBC

ICLR'24: Symmetric basis convolutions for learning lagrangian fluid mechanics
Jupyter Notebook
5
star
24

racecar

Data-driven Regularization via Racecar Training for Generalizing Neural Networks
Python
3
star
25

two-way-coupled-control

Python
2
star
26

Neural-Global-Transport

Repository for the ICLR '23 paper on Neural-Global-Transport
C++
2
star
27

Hybrid-Solver-for-Reactive-Flows

Python
1
star