ajbc / lda-svi
an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference
☆20Updated 8 years ago
Alternatives and similar repositories for lda-svi:
Users that are interested in lda-svi are comparing it to the libraries listed below
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 7 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 5 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Vector-Space Markov Random Fields☆21Updated 9 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Boosting and ensemble learning in Python.☆54Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- This implements variational inference for the correlated topic model.☆21Updated 10 years ago
- ☆53Updated 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 8 years ago
- Tensor Factorization via Matrix Factorization☆34Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Big Topic Model is a fast engine for running large-scale Topic Models.☆22Updated 7 years ago
- ☆20Updated 7 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
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Poisson-Gamma dynamical systems☆16Updated 8 years ago
- MLSS 2016 material.☆22Updated 8 years ago
- ☆11Updated last year
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago