renaud / hdp-faster
Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang
☆18Updated 11 years ago
Related projects ⓘ
Alternatives and complementary repositories for hdp-faster
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- ☆12Updated last year
- Yet another regression toolkit☆12Updated 11 years ago
- Functional matrix factorization via Bayesian tensor filtering☆13Updated last year
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- LibCP -- A Library for Conformal Prediction☆11Updated 9 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 8 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆9Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Vector-Space Markov Random Fields☆21Updated 9 years ago
- Nonparametric Active Sampling☆11Updated 6 years ago
- Topic analysis using RSM or PVDM.☆11Updated 10 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Online machine learning algorithms (based on OLL C++ library)☆22Updated 7 years ago
- A multi-threaded C++ implementation of Nickel & Kiela's "Poincare Embeddings" paper from NIPS 2017, following the implementation of the a…☆17Updated 6 years ago
- Variational Bayesian Mixture of Factor Analysers☆21Updated 9 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 7 years ago
- ☆20Updated 7 years ago
- Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick☆16Updated 7 years ago
- Using GP and metafeatures to grow better forests for prediction.☆10Updated 8 years ago
- A python wrapper for the PROPACK library☆51Updated 7 years ago
- Scalable inference for Correlated Topic Models☆30Updated 9 years ago
- Python library for fitting massive mixture models using DP priors and GPU computation.☆23Updated 8 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Convenient hyperparameter optimization☆14Updated 6 months ago