samholt / NeuralLaplaceLinks
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
☆81Updated 7 months ago
Alternatives and similar repositories for NeuralLaplace
Users that are interested in NeuralLaplace 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
- This repository contains code released by DiffEqML Research☆91Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆55Updated 2 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 3 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 2 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 4 years ago
- Experiments for Neural Flows paper☆99Updated 4 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆35Updated 5 years ago
- ☆35Updated 2 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Updated last year
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆130Updated last year
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated last year
- ☆112Updated 4 years ago
- ☆22Updated last year
- TorchFSM: Fourier Spectral Method with PyTorch☆52Updated this week
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29Updated 6 months ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- ☆13Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- ☆54Updated 3 years ago
- Neural Diffusion Processes☆81Updated last year
- ☆28Updated 3 years ago
- ☆105Updated 4 years ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆124Updated last year
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 4 years ago
- ☆35Updated 2 years ago