kadeng / pypgmcLinks
PyPGMC: Fast discrete inference submodels for PyMC and PyMC3
☆20Updated 11 years ago
Alternatives and similar repositories for pypgmc
Users that are interested in pypgmc are comparing it to the libraries listed below
Sorting:
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- ☆8Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- MLSS 2016 material.☆22Updated 9 years ago
- changepoint detection for Bayesian models☆21Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- ☆46Updated 11 years ago
- ☆68Updated last year
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- C++ library for modeling with Pitman-Yor processes☆34Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated last year
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- autoregressive plugin☆27Updated 2 years ago
- Black box variational inference for state space models☆2Updated 9 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- My PhD Thesis☆22Updated 9 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- ☆25Updated 3 years ago
- Bayesian dessert for Lasagne☆84Updated 8 years ago
- High-performance Non-negative Matrix Factorizations (NMF) - Python/C++☆49Updated 7 years ago
- Python library for fitting massive mixture models using DP priors and GPU computation.☆23Updated 9 years ago
- Tools to manage jobs on supercomputer☆40Updated 9 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago