kzhai / PyNPB
Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).
☆73Updated 8 years ago
Related projects: ⓘ
- Poisson-Gamma dynamical systems☆16Updated 7 years ago
- Bernoulli Embeddings for Text☆82Updated 6 years ago
- Deep exponential families (DEFs)☆56Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Stochastic gradient routines for Theano☆102Updated 6 years ago
- The information sieve for discrete variables.☆35Updated 7 years ago
- ☆89Updated 7 years ago
- Deep generative models for semi-supervised learning.☆109Updated 7 years ago
- Implementation of the VRAE☆59Updated 3 years ago
- Randomized embeddings for extreme learning☆24Updated 8 years ago
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 9 years ago
- ☆41Updated this week
- Train an Infinite Restricted Boltzmann Machine☆28Updated 6 years ago
- Topics on theoretical, mathematical aspects of DL☆71Updated 7 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆73Updated 7 years ago
- ☆58Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk☆38Updated 8 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆40Updated 10 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- code for stochastic expectation propagation☆16Updated 8 years ago
- ☆46Updated 10 years ago
- Bidirectional Helmholtz Machines☆41Updated 8 years ago
- An implementation of Mikolov's word2vec in Python using Theano and Lasagne.☆37Updated 7 years ago
- Deep GPs with GPy☆31Updated 8 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 8 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆36Updated 3 years ago
- ☆9Updated 8 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 6 years ago