CyberPoint / libpgmLinks
A library for creating and using probabilistic graphical models
☆76Updated 7 years ago
Alternatives and similar repositories for libpgm
Users that are interested in libpgm are comparing it to the libraries listed below
Sorting:
- Bayesian machine learning in Python☆76Updated 9 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago
- Python package for modular Bayesian optimization☆135Updated 4 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆163Updated 9 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 9 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 8 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Efficient implementation of Generative Stochastic Networks☆317Updated 9 years ago
- Breze with all the stuff.☆96Updated 8 years ago
- BOPP: Bayesian Optimization for Probabilistic Programs☆114Updated 7 years ago
- ☆46Updated 11 years ago
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- Optimizers for machine learning☆183Updated last year
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- Yet Another Hidden Markov Model repository.☆248Updated 9 years ago
- Train an Infinite Restricted Boltzmann Machine☆28Updated 6 years ago
- ☆58Updated 9 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- Exploring differentiation with respect to hyperparameters☆295Updated 9 years ago
- Collection of jupyter notebooks for demonstrating software.☆167Updated 2 years ago
- ☆36Updated 10 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- Restricted Boltzmann Machines☆90Updated 10 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Machine learning and data science blog.☆68Updated last year
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Some iPython Notebooks I have created for personal learning☆65Updated last year
- Recurrent Neural Network for modeling sequential data implemented using Python and Theano.☆91Updated 10 years ago