tum-pbs Goto Github PK

autoreg-pde-diffusion

Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

cg-solver-in-the-loop

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

coord-trans-encoding

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

deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

differentiable-piso

Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"

diffphys-cylinderwakeflow

diffusion-based-flow-prediction

Diffusion-based flow prediction (DBFP) with uncertainty for airfoils

dl-surrogates

dmcf

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

gamephysicstemplate

global-flow-transport

Repository for our CVPR 2021 Global Flow Transport Paper

half-inverse-gradients

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

hybrid-solver-for-reactive-flows

lsim

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

mantaflow

mantaflow is an open-source framework targeted at fluid simulation research in Computer Graphics and Machine Learning.

neural-global-transport

Repository for the ICLR '23 paper on Neural-Global-Transport

pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.2)

phiflow

A differentiable PDE solving framework for machine learning

phiml

Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

racecar

Data-driven Regularization via Racecar Training for Generalizing Neural Networks

reconstructscalarflows

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

sfbc

ICLR'24: Symmetric basis convolutions for learning lagrangian fluid mechanics

sip

Scale-invariant Learning by Physics Inversion (NeurIPS 2022)

smdp

Solving Inverse Physics Problems with Score Matching

solver-in-the-loop

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

stablebptt

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

tecogan

This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN

tempogan

Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"

two-way-coupled-control