AaltoML / boundary-gpLinks
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
☆23Updated 6 years ago
Alternatives and similar repositories for boundary-gp
Users that are interested in boundary-gp are comparing it to the libraries listed below
Sorting:
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 4 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆39Updated 3 years ago
- ☆40Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- Python library for Recurrent Gaussian Processes☆20Updated 7 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- ☆29Updated 6 years ago