lorenzrichter / PDE-backward-solver
☆20Updated 3 months ago
Alternatives and similar repositories for PDE-backward-solver:
Users that are interested in PDE-backward-solver are comparing it to the libraries listed below
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Symplectic Recurrent Neural Networks☆27Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆35Updated 2 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆18Updated 11 months ago
- Methods and experiments for assumed density SDE approximations☆11Updated 3 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 3 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 4 years ago
- Accompanying code for "Weak form generalized Hamiltonian learning"☆9Updated 3 years ago
- Differentiable interface to FEniCS for JAX☆52Updated 3 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆49Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆24Updated last year
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- A software package for flexible HPC GPs☆14Updated 2 months ago
- ☆26Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated 8 months ago
- Counting the number of conservation laws from trajectory data☆19Updated 3 years ago
- ☆11Updated 3 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- ☆30Updated 2 years ago
- ☆14Updated 5 months ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 3 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 4 years ago
- ☆11Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 3 years ago
- Solving Inverse Physics Problems with Score Matching☆22Updated last year
- Code accompanying the ICLR 2021 paper "ResNet After All? Neural ODEs and Their Numerical Solution"☆9Updated 2 years ago
- ☆102Updated 3 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated 8 months ago