CyberPoint / libpgm
A library for creating and using probabilistic graphical models
☆76Updated 6 years ago
Related projects: ⓘ
- Flexible Bayesian inference using TensorFlow☆143Updated 7 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆160Updated 9 years ago
- Bayesian machine learning in Python☆76Updated 8 years ago
- Yet Another Hidden Markov Model repository.☆249Updated 8 years ago
- Efficient implementation of Generative Stochastic Networks☆317Updated 8 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Python package for modular Bayesian optimization☆133Updated 3 years ago
- Train an Infinite Restricted Boltzmann Machine☆28Updated 6 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆121Updated 7 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 8 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆190Updated 5 years ago
- Optimizers for machine learning☆179Updated last year
- Machine learning and data science blog.☆67Updated last year
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Code for Mondrian Forests (for classification and regression)☆258Updated 8 years ago
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 6 years ago
- Breze with all the stuff.☆96Updated 8 years ago
- Recurrent Neural Network for modeling sequential data implemented using Python and Theano.☆91Updated 9 years ago
- Scikit-learn compatible tools using theano☆364Updated 7 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆299Updated 9 years ago
- Spearmint, without the gum☆42Updated 7 years ago
- Exploring differentiation with respect to hyperparameters☆295Updated 8 years ago
- Python Environment for Bayesian Learning☆104Updated 12 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 6 years ago
- ☆63Updated this week
- Restricted Boltzmann Machines☆90Updated 9 years ago
- Deep exponential families (DEFs)☆56Updated 6 years ago
- Categorical Latent Gaussian Process☆16Updated 9 years ago
- Generate stochastic processes using Python. Unfortunately not maintained any longer =(☆112Updated 9 years ago