FelixOpolka / Deep-Gaussian-ProcessLinks
🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
☆27Updated last year
Alternatives and similar repositories for Deep-Gaussian-Process
Users that are interested in Deep-Gaussian-Process are comparing it to the libraries listed below
Sorting:
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- ☆28Updated 6 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 11 months ago
- Continual Gaussian Processes☆32Updated last year
- ☆15Updated 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 Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 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
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Gaussian processes with PyTorch☆30Updated 3 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 7 years ago
- ☆14Updated last year
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 4 months ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago