ivaleraM / GLFM
General Latent Feature Modeling for Heterogeneous data
☆48Updated 11 months ago
Alternatives and similar repositories for GLFM:
Users that are interested in GLFM are comparing it to the libraries listed below
- Collapsed Variational Bayes☆69Updated 5 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 3 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 6 years ago
- ☆11Updated last year
- Bayesian Regression Models in Pyro☆71Updated 7 months ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- python code for kernel methods☆38Updated 6 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 10 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆29Updated 3 years ago
- Bayesian or-of-and☆34Updated 2 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Approximate knockoffs and model-free variable selection.☆52Updated 3 years ago
- mean-field and structured VAEs for the IBP☆23Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- ☆12Updated 7 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆29Updated 4 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- Dirichlet process mixture model.☆26Updated 10 years ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 5 years ago
- Continuous-time Markov model with discrete observations☆11Updated 9 years ago
- Poisson-Gamma dynamical systems☆16Updated 8 years ago
- A deep generative model of semi-unsupervised learning☆15Updated 6 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago