hrayrhar / T-CorExLinks
Implementation of linear CorEx and temporal CorEx.
☆37Updated 3 years ago
Alternatives and similar repositories for T-CorEx
Users that are interested in T-CorEx are comparing it to the libraries listed below
Sorting:
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Variational Fourier Features☆85Updated 3 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 5 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆32Updated 4 years ago
- ☆98Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 7 years ago
- ☆12Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- Repository of models in Pyro☆29Updated 10 months ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Bayesian or-of-and☆34Updated 3 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- A python library for stochastic variational inference and differentiable probabilistic programming☆33Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 4 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago