kzhai / PyNPBLinks
Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).
☆73Updated 9 years ago
Alternatives and similar repositories for PyNPB
Users that are interested in PyNPB are comparing it to the libraries listed below
Sorting:
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 7 years ago
- Poisson-Gamma dynamical systems☆17Updated 8 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Implementation of the VRAE☆60Updated 4 years ago
- Bayesian Poisson tensor factorization☆59Updated 8 months ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Stochastic gradient routines for Theano☆103Updated 7 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- ☆89Updated 8 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.☆149Updated 8 years ago
- Bernoulli Embeddings for Text☆83Updated 7 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆206Updated 9 years ago
- ☆18Updated 10 years ago
- An implementation of Mikolov's word2vec in Python using Theano and Lasagne.☆37Updated 7 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk☆38Updated 9 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 10 years ago
- Optimizers for machine learning☆183Updated last year
- ☆58Updated 9 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors☆55Updated 7 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"☆33Updated 10 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Python library for fitting massive mixture models using DP priors and GPU computation.☆23Updated 9 years ago