RogerFrigola / VGPSSMLinks
Variational Gaussian Process State-Space Models
☆24Updated 9 years ago
Alternatives and similar repositories for VGPSSM
Users that are interested in VGPSSM are comparing it to the libraries listed below
Sorting:
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 5 months ago
- ☆96Updated 6 years ago
- Continual Gaussian Processes☆32Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Streaming sparse Gaussian process approximations☆66Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Python library for Recurrent Gaussian Processes☆19Updated 7 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- ☆28Updated 6 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- ☆14Updated last year
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated 11 months ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Zheng Zhao's doctoral dissertation from Aalto University☆34Updated 2 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆76Updated 3 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Black box variational inference for state space models☆2Updated 9 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆140Updated 8 years ago