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.☆56Updated 7 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆32Updated 6 years ago
- The differentiable OSQP solver layer for PyTorch☆64Updated 2 years ago
- Bayesian optimization☆38Updated 6 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Code for AutoGP☆27Updated 6 years ago
- Infinite-horizon Gaussian processes☆33Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- ☆69Updated 7 years ago
- Matrix exponential in cuda for pytorch and tensorflow☆17Updated 7 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 5 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64Updated 9 years ago
- Implementation of the Gaussian Process Latent Variable Model.☆14Updated 3 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Hierarchical Gaussian process latent variable model.☆18Updated 4 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 3 years ago
- ☆21Updated 6 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆30Updated 8 years ago