andrewcron / dpmixLinks
Python library for fitting massive mixture models using DP priors and GPU computation.
☆23Updated 9 years ago
Alternatives and similar repositories for dpmix
Users that are interested in dpmix are comparing it to the libraries listed below
Sorting:
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 9 years ago
- Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335☆55Updated 9 years ago
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Poisson matrix factorization and autotagger☆43Updated 9 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- Stochastic gradient routines for Theano☆103Updated 7 years ago
- Bernoulli Embeddings for Text☆83Updated 7 years ago
- Python/Cython wrapper for liblbfgs☆45Updated 7 years ago
- ☆68Updated last year
- Gaussian Process Random Fields☆21Updated 9 years ago
- Bayesian Poisson tensor factorization☆61Updated 9 months ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- C++ library for modeling with Pitman-Yor processes☆34Updated 7 years ago
- Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…☆48Updated 9 years ago
- Some iPython Notebooks I have created for personal learning☆65Updated last year
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference☆20Updated 8 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 3 months ago
- ☆58Updated 9 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- Optimizers for machine learning☆183Updated last year
- Vector-Space Markov Random Fields☆21Updated 10 years ago