ivaleraM / GLFMLinks
General Latent Feature Modeling for Heterogeneous data
☆49Updated last year
Alternatives and similar repositories for GLFM
Users that are interested in GLFM are comparing it to the libraries listed below
Sorting:
- The holdout randomization test: feature selection using black box predictive models☆21Updated 4 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 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
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- ☆12Updated 2 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 4 years ago
- python code for kernel methods☆40Updated 6 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 2 weeks ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Collapsed Variational Bayes☆71Updated 5 years ago
- Approximate knockoffs and model-free variable selection.☆55Updated 3 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆86Updated 2 years ago
- CausalFX R Package☆13Updated 10 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- Tutorial on Bayesian tests for Machine Learning☆79Updated 4 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Updated 5 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 6 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Deep Markov Models☆133Updated 6 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago