Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"
Repositories
tum-pbs repositories
[ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Repository for the ICLR '23 paper on Neural-Global-Transport
A differentiable PDE solving framework for machine learning
Scale-invariant Learning by Physics Inversion (NeurIPS 2022)
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations
[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)
Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
Source code for the ICLR'22 paper on "Half-Inverse Gradients"
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
Dataset handling for physics-based deep learning tasks
Data-driven Regularization via Racecar Training for Generalizing Neural Networks