anshu957 / OrderChaosHNNLinks
Hamiltonian neural network implementation for Henon Heiles dynamical system learning mix of order and chaos
☆11Updated 2 years ago
Alternatives and similar repositories for OrderChaosHNN
Users that are interested in OrderChaosHNN are comparing it to the libraries listed below
Sorting:
- ☆112Updated 4 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- ☆28Updated 4 years ago
- ☆73Updated 5 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆55Updated 2 years ago
- This repository contains code released by DiffEqML Research☆91Updated 3 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated 2 years ago
- Hamiltonian Neural Networks for solving Differential Equations☆23Updated 3 years ago
- ☆21Updated 3 years ago
- ☆22Updated last year
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 4 years ago
- Port-Hamiltonian Approach to Neural Network Training☆24Updated 6 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Updated 2 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆65Updated last year
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆42Updated 4 years ago
- ☆105Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated last year
- Solving Inverse Physics Problems with Score Matching☆31Updated 2 years ago
- Transformers for modeling physical systems☆145Updated 2 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 3 years ago
- Implementation of restricted Boltzmann machines in Tensorflow 2☆28Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 3 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated 2 weeks ago
- This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data☆199Updated 6 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 10 months ago