PhDP / mlbopLinks
Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).
☆71Updated 7 years ago
Alternatives and similar repositories for mlbop
Users that are interested in mlbop are comparing it to the libraries listed below
Sorting:
- Various packages used by PMTK.☆56Updated 6 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Visualize optimization algorithms in MATLAB.☆155Updated 3 years ago
- YAGTOM: Yet Another Guide TO Matlab☆57Updated 12 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- A collection of MATLAB data sets used by PMTK.☆57Updated 12 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 8 years ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- Optimization using Stochastic quasi-Newton methods☆42Updated 8 years ago
- Kernel Methods Toolbox for Matlab/Octave☆52Updated 6 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 7 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆57Updated 7 years ago
- Bayesian Gaussian mixture models in Python.☆64Updated 2 years ago
- Python Library for Particle based estimation methods☆64Updated 7 years ago
- A Python convex optimization package using proximal splitting methods☆119Updated 4 months ago
- ☆41Updated 9 years ago
- Pattern Recognition Toolbox for MATLAB☆146Updated 3 months ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- Kernel Adaptive Filtering: A Comprehensive Introduction☆43Updated 10 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Materials for a short course on convex optimization.☆358Updated 4 months ago
- Sticky hierarchical Dirichlet process hidden Markov model for time series denoising☆50Updated 9 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 5 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆165Updated 10 years ago
- A lightweight MATLAB deeplearning toolbox,based on gpuArray.☆53Updated 8 years ago
- Mutual Information functions for C and MATLAB☆144Updated 7 years ago
- A Matlab benchmarking toolbox for kernel adaptive filtering☆99Updated 2 years ago