IRT-SystemX / LIPSLinks
☆31Updated 3 months ago
Alternatives and similar repositories for LIPS
Users that are interested in LIPS are comparing it to the libraries listed below
Sorting:
- 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
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 3 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- ☆21Updated 4 years ago
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆33Updated 4 months ago
- ☆21Updated 2 years ago
- ☆11Updated 4 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 3 years ago
- The public repository about our joint FINN research project☆37Updated 2 years ago
- ☆16Updated 11 months ago
- ☆35Updated last year
- Multiwavelets-based operator model☆61Updated 3 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 4 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆26Updated last month
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆34Updated 4 months ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 5 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- ☆35Updated last year
- ☆29Updated 2 years ago
- Stochastic Optimization under Uncertainty in Python.☆36Updated last month
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago