victorkristof / linear-regressions-mixtureLinks
Python implementation of mixtures of linear regressions.
☆14Updated 5 years ago
Alternatives and similar repositories for linear-regressions-mixture
Users that are interested in linear-regressions-mixture are comparing it to the libraries listed below
Sorting:
- Path algorithm for generalized lasso problems☆32Updated 2 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Approximate knockoffs and model-free variable selection.☆55Updated 3 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Collapsed Variational Bayes☆71Updated 5 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆77Updated last year
- 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 10 months ago
- Inference in Bayesian Networks with R☆11Updated 2 years ago
- A library for bayesian variable selection☆28Updated 4 months ago
- Python software for selective inference☆52Updated 2 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 4 months ago
- ☆12Updated 7 years ago
- python code for kernel methods☆38Updated 6 years ago
- ☆11Updated last year
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 7 years ago
- ICML 2017. Kernel-based adaptive linear-time independence test.☆16Updated 3 years ago
- Software for selective inference☆17Updated 2 years ago
- Generalized lasso implementations☆46Updated 7 months ago
- Rotation Invariant Householder Parameterization for Bayesian PCA☆17Updated 2 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Code for AutoGP☆26Updated 5 years ago
- Efficient Algorithms for L0 Regularized Learning☆101Updated last year
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆32Updated 3 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆68Updated 7 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