tksmatsubara / discrete-autogradLinks
Code for "Deep Energy-Based Modeling of Discrete-Time Physics," NeurIPS, 2020.
☆19Updated 3 years ago
Alternatives and similar repositories for discrete-autograd
Users that are interested in discrete-autograd are comparing it to the libraries listed below
Sorting:
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆33Updated 5 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 3 years ago
- ☆15Updated 5 years ago
- IsoGCN code for ICLR2021☆49Updated 3 years ago
- Refining continuous-in-depth neural networks☆40Updated 3 years ago
- Official FluxGNN code for ICML2024☆20Updated 4 months ago
- ☆24Updated 2 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 5 months ago
- Package for CGD and ACGD optimizers☆20Updated 2 years ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14Updated 2 years ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆160Updated 2 years ago
- ☆34Updated 2 years ago
- Source code for the ICLR'22 paper on "Half-Inverse Gradients"☆18Updated 3 years ago
- Learning Green's functions of partial differential equations with deep learning.☆69Updated last year
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- ☆15Updated 2 years ago
- Distributed Fourier Neural Operators☆30Updated 2 years ago
- PENN code for NeurIPS 2022☆41Updated 2 years ago
- PyTorch-FEniCS interface☆101Updated 4 years ago
- ☆41Updated 2 years ago
- Code for "Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory," NeurIPS, 2021.☆16Updated 3 years ago
- ☆13Updated 4 years ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆69Updated 5 months ago
- ☆35Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- ☆16Updated 3 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆96Updated last year
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated 11 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago