cangermueller / vbmfaLinks
Variational Bayesian Mixture of Factor Analysers
☆24Updated 10 years ago
Alternatives and similar repositories for vbmfa
Users that are interested in vbmfa are comparing it to the libraries listed below
Sorting:
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Yet another regression toolkit☆12Updated 11 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 11 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- ADENINE: A Data ExploratioN PipelINE☆15Updated 6 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Topic analysis using RSM or PVDM.☆11Updated 10 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- ☆46Updated 11 years ago
- MLSS 2016 material.☆22Updated 9 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- ☆25Updated 9 years ago
- Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.☆48Updated 8 years ago
- Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.☆12Updated 8 years ago
- Using GP and metafeatures to grow better forests for prediction.☆10Updated 8 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Recommender systems in Python☆50Updated 10 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 9 years ago
- Vector-Space Markov Random Fields☆21Updated 10 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago