NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
☆51Mar 5, 2018Updated 7 years ago
Alternatives and similar repositories for PyIBP
Users that are interested in PyIBP are comparing it to the libraries listed below
Sorting:
- Python code that demonstrates how data generated from an IBP changes as you vary the process hyperparameters☆12Aug 24, 2016Updated 9 years ago
- Generative models and other stuff too, maybe, perhaps even probably☆16Dec 12, 2015Updated 10 years ago
- Large scale matrix factorization on GPU☆19Jun 4, 2016Updated 9 years ago
- a very fast parser for sparse matrix at libsvm format☆10Nov 13, 2017Updated 8 years ago
- ☆10Jul 5, 2016Updated 9 years ago
- An experiment with Thompson sampling and TD(0) on a grid world variant☆17Nov 8, 2013Updated 12 years ago
- ☆11Mar 9, 2018Updated 7 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Nov 2, 2017Updated 8 years ago
- Latent Dirichlet Allocation with Gibbs sampling☆16Dec 18, 2013Updated 12 years ago
- ☆12Jul 16, 2023Updated 2 years ago
- Hierarchical Dirichlet Process Generalized Linear Models☆12Apr 19, 2025Updated 10 months ago
- ☆13Sep 18, 2019Updated 6 years ago
- Dynamic Topic Modelling Tutorial Files☆13May 12, 2015Updated 10 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Sep 25, 2015Updated 10 years ago
- Dynamic Numpy arrays☆13Feb 26, 2017Updated 9 years ago
- Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang☆18Oct 12, 2013Updated 12 years ago
- ☆15Sep 25, 2020Updated 5 years ago
- Compute shrinkage estimates of the covariance matrix☆15Oct 12, 2015Updated 10 years ago
- ☆21Mar 20, 2017Updated 8 years ago
- Birkhoff decomposition for doubly stochastic matrices.☆14Sep 17, 2023Updated 2 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Jan 15, 2014Updated 12 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Jan 15, 2022Updated 4 years ago
- Entity Linking in Queries: Efficiency vs. Effectiveness☆18Nov 16, 2017Updated 8 years ago
- topics Models extension for Mallet & scikit-learn☆49Mar 27, 2017Updated 8 years ago
- UT Austin Machine Learning Group Latent Variable Modeling Toolkit☆26Feb 2, 2012Updated 14 years ago
- Bayesian nonparametric models for python☆18Sep 11, 2018Updated 7 years ago
- An asynchronous Redis client for Tornado☆20Nov 6, 2020Updated 5 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆23Jul 6, 2023Updated 2 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43May 18, 2017Updated 8 years ago
- A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow☆19Jun 5, 2017Updated 8 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23May 3, 2018Updated 7 years ago
- Biased matrix factorisation using TensorFlow☆19Jun 30, 2016Updated 9 years ago
- Python package to sample from determinantal point processes☆18Jul 20, 2015Updated 10 years ago
- Theano implementation of GloVe for graphs☆47Jul 5, 2015Updated 10 years ago
- Variational Walkback, NIPS'17☆28Oct 18, 2017Updated 8 years ago
- investigating use of variational auto encoders with multinomial latent variables for unsupervised data.☆25Jun 12, 2017Updated 8 years ago
- Code, data, and tasks for "When does model-based control pay off?" (Kool et al., 2016)☆22Oct 17, 2017Updated 8 years ago
- Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings☆53Dec 6, 2016Updated 9 years ago
- Exposure Matrix Factorization: modeling user exposure in recommendation☆96Apr 6, 2016Updated 9 years ago