wwMark / meshgraphnets
Rewrite deepmind/meshgraphnets into pytorch
☆80Updated 3 years ago
Alternatives and similar repositories for meshgraphnets:
Users that are interested in meshgraphnets are comparing it to the libraries listed below
- PyTorch implementations of Learning Mesh-based Simulation With Graph Networks☆172Updated 2 years ago
- MeshGraphNets (MGN)☆61Updated last year
- ☆54Updated 6 months ago
- Graph Network Simulator☆154Updated 3 months ago
- 3-D elastic material simulation with Taichi using the Material Point Method (MPM)☆38Updated 3 years ago
- Code repo for Fluid Graph Network☆23Updated 3 years ago
- A Mesh-free Topology Optimization Method using Neural Representations☆30Updated 3 years ago
- ☆18Updated 3 years ago
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆50Updated 10 months ago
- ☆94Updated last month
- Reimplementation of Learning Mesh-based Simulation With Graph Networks☆44Updated 3 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆38Updated last year
- Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.☆220Updated 7 months ago
- ☆56Updated last month
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆62Updated 2 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆130Updated 6 months ago
- Subspace Graph Physics☆11Updated 9 months ago
- ☆120Updated last year
- Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023☆39Updated last year
- PENN code for NeurIPS 2022☆39Updated 2 years ago
- Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate☆52Updated 3 years ago
- Differentiable Material Point Method☆32Updated last year
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆152Updated 2 years ago
- ☆14Updated 2 years ago
- Code, technical details and links to datasets and trained models for TopoDiff☆37Updated last year
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆33Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70Updated 9 months ago
- Using deep reinforcement learning for refining meshes in computational fluid dynamics☆23Updated last year
- ☆22Updated 2 years ago
- A Taichi-powered high-performance numerical simulator for multiscale and multifield geophysical problems☆115Updated 2 weeks ago