mattjj / pybasicbayes
☆153Updated 5 years ago
Alternatives and similar repositories for pybasicbayes:
Users that are interested in pybasicbayes are comparing it to the libraries listed below
- autoregressive plugin☆27Updated 2 years ago
- ☆92Updated 6 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- some tools for gaussian linear dynamical systems☆88Updated 6 years ago
- My PhD Thesis☆22Updated 8 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Implementation of Hidden Markov Models in pymc3☆60Updated 7 years ago
- code for Structured Variational Autoencoders☆351Updated 6 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- Library of common tools for machine learning research.☆40Updated 7 years ago
- Structured Inference Networks for Nonlinear State Space Models☆267Updated 7 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Variational Fourier Features☆83Updated 3 years ago
- ELFI - Engine for Likelihood-Free Inference☆272Updated 6 months ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- ☆97Updated 6 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆75Updated 10 months ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Scikit-learn compatible estimation of general graphical models☆244Updated 9 months ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Kalman Variational Auto-Encoder☆135Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Deep GPs with GPy☆31Updated 8 years ago