DrugowitschLab / VBLinLogitLinks
Variational Bayes linear and logistic regression
☆35Updated 6 years ago
Alternatives and similar repositories for VBLinLogit
Users that are interested in VBLinLogit are comparing it to the libraries listed below
Sorting:
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆232Updated 2 years ago
- ☆98Updated 7 years ago
- Bayesian GPLVM in MATLAB and R☆76Updated 8 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
- some tools for gaussian linear dynamical systems☆90Updated 7 years ago
- Variational Gaussian Process State-Space Models☆25Updated 10 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB☆260Updated 3 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- local non-uniformity correction for mutual information estimation☆71Updated 4 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 3 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- My PhD Thesis☆22Updated 9 years ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Materials for Bayesian Methods in Machine Learning Course☆92Updated 2 weeks ago
- Recurrent Switching Linear Dynamical Systems☆116Updated 2 years ago
- ☆155Updated 6 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 11 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆176Updated last year
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 2 years ago