aboustati / dgplibLinks
Library for Deep Gaussian Processes based on GPflow
☆19Updated 5 years ago
Alternatives and similar repositories for dgplib
Users that are interested in dgplib are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 9 months ago
- ☆29Updated 6 years ago
- Continual Gaussian Processes☆32Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆39Updated 3 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- ☆40Updated 6 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 6 months ago
- Various estimators of the infinite dimensional exponential family model☆15Updated 8 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Bayesian neural network package☆149Updated 4 years ago
- Sequential Neural Likelihood☆40Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago