yuan-yin / APHYNITYLinks
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
☆46Updated last year
Alternatives and similar repositories for APHYNITY
Users that are interested in APHYNITY are comparing it to the libraries listed below
Sorting:
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆48Updated 3 years ago
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆77Updated last month
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- ☆45Updated 4 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆52Updated 2 years ago
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆26Updated 3 weeks ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 3 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆19Updated 2 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆24Updated last week
- [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method☆60Updated last week
- ☆15Updated 4 years ago
- ☆29Updated 2 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆24Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆25Updated 2 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Updated 3 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆40Updated 6 years ago
- ☆40Updated last year
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- A framework for neural network control of dynamical systems over graphs.☆58Updated 2 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆134Updated 8 months ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆71Updated this week
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆14Updated 10 months ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆53Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Implementation of Physics-Informed Diffusion Models☆87Updated 3 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆65Updated last year
- ☆10Updated 5 months ago
- Spectral Neural Operator☆77Updated last year
- Transformers for modeling physical systems☆140Updated last year