hegdepashupati / gaussian-process-odesLinks
Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
☆12Updated 2 years ago
Alternatives and similar repositories for gaussian-process-odes
Users that are interested in gaussian-process-odes are comparing it to the libraries listed below
Sorting:
- Nonparametric Differential Equation Modeling☆53Updated last year
- A Python package to learn the Koopman operator.☆60Updated 7 months ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆29Updated last year
- ☆29Updated 2 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆11Updated 4 months ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Code for "Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference" (ICML 2024)☆20Updated last month
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- A PyTorch library for all things nonlinear control and reinforcement learning.☆46Updated 3 years ago
- PyTorch implementation of Hamiltonian deep neural networks.☆20Updated 3 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆48Updated 2 years ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Data-driven dynamical systems toolbox.☆74Updated 2 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆46Updated last year
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆62Updated 4 years ago
- Differentiable Principal Component Analysis (PCA) implementation in JAX☆29Updated 2 months ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 2 months ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆30Updated 2 months ago
- ☆45Updated 4 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- The code used for the paper "On the stability analysis of optimal state feedbacks as represented by deep neural models"☆16Updated 5 years ago
- ☆8Updated 4 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆52Updated 3 years ago
- ☆15Updated 4 years ago