DrugowitschLab / VBLinLogit
Variational Bayes linear and logistic regression
☆34Updated 5 years ago
Alternatives and similar repositories for VBLinLogit:
Users that are interested in VBLinLogit are comparing it to the libraries listed below
- Black box variational inference for state space models☆1Updated 8 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- My PhD Thesis☆22Updated 8 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- ☆94Updated 6 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆47Updated 6 years ago
- some tools for gaussian linear dynamical systems☆89Updated 6 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 8 years ago
- Dimensionality reduction of spikes trains☆49Updated 3 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆14Updated 6 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- A quickstart guide to tensor decomposition☆70Updated 2 years ago
- Variational Bayesian Canonical Correlation Analysis☆30Updated 8 years ago
- Bayesian GPLVM in MATLAB and R☆73Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 5 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Collapsed Variational Bayes☆70Updated 5 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Generalized Transfer Entropy analysis for model-free network reconstruction.☆30Updated 4 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- ☆8Updated 8 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆223Updated last year
- Variational Bayesian GP-LVM model in MATLAB.☆12Updated 9 years ago