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:
- ☆11Updated last year
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 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
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- The Linear Information Sieve☆16Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Topic analysis using RSM or PVDM.☆11Updated 10 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 8 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 9 years ago
- A neural network library based on tensorflow and with true sklearn compatibility.☆11Updated 8 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Updated 10 years ago
- Variational Recurrent Auto Encoder☆15Updated 8 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference☆20Updated 8 years ago
- Nonparametric Active Sampling☆11Updated 6 years ago
- Scikit-learn-compatible datasets☆16Updated 2 months ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Scalable inference for Correlated Topic Models☆30Updated 10 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated last year
- ☆46Updated 11 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago