ivaleraM / GLFMLinks
General Latent Feature Modeling for Heterogeneous data
☆50Updated last year
Alternatives and similar repositories for GLFM
Users that are interested in GLFM are comparing it to the libraries listed below
Sorting:
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆84Updated 5 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 5 years ago
- Variational Fourier Features☆86Updated 4 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆52Updated 7 years ago
- Bayesian Regression Models in Pyro☆74Updated last year
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Collapsed Variational Bayes☆72Updated 6 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆30Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Dirichlet MLE python library☆117Updated 5 months ago
- python code for kernel methods☆42Updated 7 years ago
- mean-field and structured VAEs for the IBP☆23Updated 7 years ago
- Generalized lasso implementations☆46Updated last year
- Bayesian or-of-and☆36Updated 3 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆95Updated 4 years ago
- Unbiased Markov chain Monte Carlo with couplings☆30Updated 3 years ago
- Implementation of linear CorEx and temporal CorEx.☆36Updated 4 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆79Updated last year
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- Tutorial on Bayesian tests for Machine Learning☆78Updated 5 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 5 years ago
- ☆12Updated 2 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 8 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Approximate knockoffs and model-free variable selection.☆56Updated 4 years ago
- ☆99Updated 7 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆89Updated 2 years ago