samholt / NeuralLaplace
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
☆75Updated last month
Alternatives and similar repositories for NeuralLaplace:
Users that are interested in NeuralLaplace are comparing it to the libraries listed below
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70Updated 10 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆51Updated 2 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆45Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- Consistent Koopman Autoencoders☆71Updated last year
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆36Updated 3 years ago
- ☆49Updated 2 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆42Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆58Updated last year
- [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method☆44Updated 3 weeks ago
- This repository contains code released by DiffEqML Research☆89Updated 3 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆130Updated 6 months ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆62Updated 2 months ago
- Experiments for Neural Flows paper☆94Updated 3 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆19Updated 3 weeks ago
- ☆60Updated 7 months ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆32Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆24Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆18Updated 2 years ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆59Updated 2 months ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- ☆34Updated 3 years ago
- A Python package to learn the Koopman operator.☆54Updated 4 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆64Updated 4 months ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Implementation of Physics-Informed Diffusion Models☆60Updated last month