acerbilab / vbmcLinks
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
☆224Updated 2 years ago
Alternatives and similar repositories for vbmc
Users that are interested in vbmc are comparing it to the libraries listed below
Sorting:
- Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB☆255Updated 2 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 2 years ago
- Black box variational inference for state space models☆2Updated 9 years ago
- Matlab interface to Stan, a package for Bayesian inference☆83Updated 2 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 5 months ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆140Updated 8 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆32Updated 8 years ago
- Zheng Zhao's doctoral dissertation from Aalto University☆34Updated 2 years ago
- ☆96Updated 6 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆76Updated 3 years ago
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆73Updated 5 months ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 4 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- ☆28Updated 6 years ago
- ☆14Updated last year
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Convolution dictionary learning for time-series☆131Updated 5 months ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆59Updated last year
- 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☆89Updated 7 years ago
- Example codes for the book Applied Stochastic Differential Equations☆194Updated 3 years ago
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆119Updated 4 months ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Manifold Markov chain Monte Carlo methods in Python☆230Updated 2 weeks ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago