thu-ml / BigTopicModelLinks
Big Topic Model is a fast engine for running large-scale Topic Models.
☆23Updated 8 years ago
Alternatives and similar repositories for BigTopicModel
Users that are interested in BigTopicModel are comparing it to the libraries listed below
Sorting:
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago
- Bernoulli Embeddings for Text☆83Updated 7 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆83Updated 3 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Metric Learning to Rank☆46Updated 12 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 11 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.☆149Updated 8 years ago
- Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"☆20Updated 8 years ago
- Active Learning☆56Updated 10 years ago
- Bayesian Effective Connectivity☆54Updated 6 years ago
- Code to accompany "A Neural Framework for Generalized Topic Models"☆67Updated 7 years ago
- code for iclr workshop paper "Learning Document Embedding by Predicting N-grams for Sentiment Classification of Long Movie Reviews"☆25Updated 9 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Scalable tensor factorization☆54Updated 10 years ago
- ☆53Updated 7 years ago
- Context Selection for Embedding Models☆27Updated 7 years ago
- ☆68Updated 2 weeks ago
- This implements variational inference for the correlated topic model.☆21Updated 11 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
- Theano implementation of GloVe for graphs☆48Updated 10 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 10 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Code for the TACL paper "Overcoming Language Variation in Sentiment Analysis with Social Attention"☆45Updated 8 years ago
- an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference☆20Updated 8 years ago
- Linear Recommender AAAI-16 code☆21Updated 7 years ago