anhncs / Probabilistic-Graphical-Models
Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
☆104Updated 11 years ago
Alternatives and similar repositories for Probabilistic-Graphical-Models:
Users that are interested in Probabilistic-Graphical-Models are comparing it to the libraries listed below
- ☆82Updated 7 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 10 years ago
- Code for Deep Learning class at Google☆73Updated 13 years ago
- Bayesian Machine Learning☆207Updated 2 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Edward content including papers, posters, and talks☆90Updated 4 years ago
- A collection of MATLAB data sets used by PMTK.☆57Updated 11 years ago
- Programming assignments for the class☆23Updated 12 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆162Updated 9 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆70Updated 12 years ago
- Multi-task learning via Structural Regularization☆133Updated 3 years ago
- Various packages used by PMTK.☆54Updated 5 years ago
- ☆76Updated 7 years ago
- Pattern Recognition Toolbox for MATLAB☆145Updated 5 years ago
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Code for Kaggle EEG Detection competition☆70Updated 9 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆188Updated 9 years ago
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆66Updated 6 years ago
- A collection of tutorials from Deep Learning conferences.☆31Updated 8 years ago
- ☆59Updated 8 years ago
- Classification uncertainty using Bayesian neural networks☆33Updated 8 years ago
- Pattern recognition and machine learning toolbox☆40Updated 2 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 6 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Updated 7 years ago
- Implementation of several different types of autoencoders☆116Updated 2 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Matlab GPU Accelerated Deep Learning Toolbox☆70Updated 8 years ago