mariosmat / hamiltonianNNetODEs
Hamiltonian Neural Networks for solving Differential Equations
☆22Updated 3 years ago
Alternatives and similar repositories for hamiltonianNNetODEs
Users that are interested in hamiltonianNNetODEs are comparing it to the libraries listed below
Sorting:
- ☆27Updated 4 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆22Updated 2 months ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆50Updated last year
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆43Updated last year
- Transformers for modeling physical systems☆137Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆55Updated 2 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆26Updated last year
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆18Updated 6 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 6 months ago
- Python codes for Introduction to Computational Stochastic PDE☆43Updated 3 months ago
- Neural Galerkin☆15Updated last year
- ☆107Updated 4 years ago
- ☆11Updated 4 years ago
- Accompanying code for "Weak form generalized Hamiltonian learning"☆9Updated 4 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆52Updated 2 years ago
- ☆41Updated 5 years ago
- Spectral Neural Operator☆78Updated last year
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆87Updated last week
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆13Updated 5 months ago
- ☆33Updated 11 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- ☆177Updated last month
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- Hamiltonian neural network implementation for Henon Heiles dynamical system learning mix of order and chaos☆11Updated last year