yuan-yin / LEADSLinks
Learning Dynamical Systems that Generalize Across Environments
☆20Updated 3 years ago
Alternatives and similar repositories for LEADS
Users that are interested in LEADS are comparing it to the libraries listed below
Sorting:
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆25Updated 2 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- ☆15Updated 5 years ago
- Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)☆16Updated 2 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆46Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆26Updated last month
- 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
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 9 months ago
- Multiwavelets-based operator model☆61Updated 3 years ago
- ☆35Updated last year
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆15Updated 11 months ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 4 years ago
- ICON for in-context operator learning☆54Updated 4 months ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆78Updated 2 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- ☆21Updated 2 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- ☆35Updated last year
- Experiments for Neural Flows paper☆97Updated 3 years ago
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated last year
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆27Updated 3 months ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Updated 11 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- The public repository about our joint FINN research project☆37Updated 2 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago