DecodEPFL / HamiltonianNetLinks
PyTorch implementation of Hamiltonian deep neural networks.
☆20Updated 3 years ago
Alternatives and similar repositories for HamiltonianNet
Users that are interested in HamiltonianNet are comparing it to the libraries listed below
Sorting:
- ☆110Updated 4 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- ☆20Updated 2 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆52Updated 3 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆53Updated 3 years ago
- Port-Hamiltonian Approach to Neural Network Training☆24Updated 5 years ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆13Updated 3 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- ☆45Updated 4 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 3 years ago
- ☆43Updated 2 years ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆36Updated 2 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆48Updated this week
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆49Updated 2 years ago
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆20Updated 2 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 3 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆58Updated 2 years ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆33Updated 3 months ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆39Updated 2 years ago
- ☆15Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Offline Contextual Bayesian Optimization☆14Updated 2 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- ☆35Updated 3 years ago
- A collection of graph neural networks implementations in JAX☆33Updated last year
- ☆29Updated 2 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆28Updated last year
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆30Updated last year