sods / netlab
Fork of NETLAB toolbox written by Ian T. Nabney.
☆19Updated 9 years ago
Alternatives and similar repositories for netlab
Users that are interested in netlab are comparing it to the libraries listed below
Sorting:
- Matlab implementations of Gaussian processes and other machine learning tools.☆139Updated 7 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆50Updated 9 years ago
- Deep Gaussian Processes in matlab☆92Updated 3 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 8 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆174Updated 2 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆74Updated 3 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- lightspeed matlab toolbox☆133Updated 3 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- Kernel Adaptive Filtering: A Comprehensive Introduction☆42Updated 9 years ago
- Bayesian Gaussian mixture models in Python.☆63Updated 2 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- Plot line(s) with error bounds/confidence intervals/etc. in Matlab☆103Updated 9 months ago
- Deep Gaussian Processes in Python☆233Updated 4 years ago
- Streaming sparse Gaussian process approximations☆65Updated 2 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 3 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Bayesian optimization with the Gaussian process assumption☆30Updated 9 years ago
- Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.☆28Updated 7 years ago
- Python Library for Particle based estimation methods☆63Updated 6 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Updated 11 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆73Updated 3 years ago
- ☆95Updated 6 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 9 years ago
- A Matlab benchmarking toolbox for kernel adaptive filtering☆97Updated 2 years ago