anassinator / gpLinks
Differentiable Gaussian Process implementation for PyTorch
☆22Updated 7 years ago
Alternatives and similar repositories for gp
Users that are interested in gp are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Python implementation of the PR-SSM.☆57Updated 7 years ago
- Bayesian optimization☆38Updated 6 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- The differentiable OSQP solver layer for PyTorch☆65Updated 3 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 3 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆32Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- ☆21Updated 7 years ago
- Recyclable Gaussian Processes☆11Updated 3 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆26Updated 5 years ago
- We simulate a wind tunnel, place a rectangular occlusion in it, and then use gradient descent to turn the occlusion into a wing.☆27Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆84Updated last year
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- ☆69Updated 7 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 5 years ago
- Structured framework for learning mechanical systems in PyTorch☆27Updated 6 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆44Updated 4 years ago
- ☆43Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Layered distributions using FLAX/JAX☆10Updated 5 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago