gpstuff-dev / gpstuff
GPstuff - Gaussian process models for Bayesian analysis
☆171Updated 2 years ago
Alternatives and similar repositories for gpstuff:
Users that are interested in gpstuff are comparing it to the libraries listed below
- Multiple output Gaussian processes in MATLAB including the latent force model.☆49Updated 9 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆72Updated 3 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆137Updated 7 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆223Updated last year
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆183Updated 10 years ago
- Deep Gaussian Processes in Python☆233Updated 3 years ago
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Gaussian Processes regression with gaussian kernel implementation.☆26Updated 10 years ago
- Bayesian Data Analysis demos for Matlab/Octave☆63Updated 5 years ago
- ☆232Updated 7 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Updated 11 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆52Updated 6 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Collection of jupyter notebooks for demonstrating software.☆166Updated last year
- Kernel structure discovery research code - likely to be unstable☆189Updated 9 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Zheng Zhao's doctoral dissertation from Aalto University☆35Updated 2 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆214Updated 6 years ago
- Multi-Output Gaussian Process Toolkit☆170Updated 10 months ago
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆38Updated 6 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆149Updated 6 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- ☆15Updated 8 years ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆68Updated last year
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 3 years ago