lorenzrichter / PDE-backward-solverLinks
☆21Updated 8 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
Sorting:
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆19Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆25Updated 2 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- ☆110Updated 4 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆97Updated last year
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- ☆11Updated 4 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated 2 years ago
- ☆28Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 9 months ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆25Updated 2 years ago
- ☆47Updated last year
- Nonparametric Differential Equation Modeling☆53Updated last year
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Solving Inverse Physics Problems with Score Matching☆28Updated last year
- ☆11Updated 4 years ago
- ☆12Updated 3 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago