DrewSosa / dissipative_hnns
Training neural networks to disentangle conservative and dissipative dynamics
☆10Updated 3 years ago
Alternatives and similar repositories for dissipative_hnns
Users that are interested in dissipative_hnns are comparing it to the libraries listed below
Sorting:
- ☆15Updated 4 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆45Updated last year
- ☆14Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆19Updated 2 years ago
- ☆29Updated 2 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆22Updated 2 months ago
- ☆21Updated 2 years ago
- ☆12Updated 2 years ago
- ☆107Updated 4 years ago
- ☆16Updated 9 months ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆32Updated 5 years ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- ☆19Updated 2 years ago
- ☆10Updated 5 months ago
- ☆15Updated 3 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
- ☆11Updated 4 years ago
- ☆41Updated 5 years ago
- ☆45Updated 4 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆36Updated 2 years ago
- PyTorch implementation of Hamiltonian deep neural networks.☆19Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated 10 months ago
- ☆34Updated 3 years ago
- ☆12Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆50Updated last year