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:
- Variational Fourier Features☆85Updated 4 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- The holdout randomization test: feature selection using black box predictive models☆21Updated 4 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Bayesian Regression Models in Pyro☆72Updated last year
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 7 years ago
- python code for kernel methods☆41Updated 6 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 5 years ago
- Collapsed Variational Bayes☆72Updated 5 years ago
- ☆12Updated 2 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 4 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Unbiased Markov chain Monte Carlo with couplings☆30Updated 3 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆87Updated 2 years ago
- Dirichlet MLE python library☆117Updated last month
- ☆11Updated 7 years ago
- Tutorial on Bayesian tests for Machine Learning☆79Updated 4 years ago
- Approximate knockoffs and model-free variable selection.☆55Updated 3 years ago
- Bayesian or-of-and☆35Updated 3 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Generalized lasso implementations☆46Updated 11 months ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago