tonyduan / conjugate-bayes
Conjugate Bayesian linear regression and distribution models in Python.
☆11Updated last year
Related projects: ⓘ
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang☆18Updated 10 years ago
- Functional matrix factorization via Bayesian tensor filtering☆13Updated last year
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Bayesian nonparametric models for python☆17Updated 6 years ago
- Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on…☆12Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆32Updated 9 years ago
- Information Theoretic Clustering using Minimum Spanning Trees☆19Updated 6 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Variational Bayesian Mixture of Factor Analysers☆21Updated 9 years ago
- ☆18Updated 7 years ago
- This implements variational inference for the correlated topic model.☆21Updated 9 years ago
- ☆12Updated 5 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆10Updated 4 years ago
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 8 years ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆16Updated 6 years ago
- NER System Developed at CMU☆12Updated 6 years ago
- The Linear Information Sieve☆15Updated 7 years ago
- Python code for "Bayesian hybrid matrix factorisation for data integration", published at 20th International Conference on Artificial Int…☆13Updated 6 years ago
- LibCP -- A Library for Conformal Prediction☆11Updated 9 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆28Updated 6 years ago
- ☆11Updated 8 years ago
- Tutorials on session-based recommender systems☆11Updated 7 years ago
- Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms☆14Updated 2 years ago
- Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables☆11Updated 6 years ago
- Python library for fitting massive mixture models using DP priors and GPU computation.☆23Updated 8 years ago
- A flexible variational inference LDA library.☆22Updated 5 years ago
- Using Bayesian inference to mine rule sets☆10Updated 4 years ago
- Python Implementation of Collapsed Gibbs Sampling for Latent Dirichlet Allocation (LDA)☆16Updated 9 years ago