mattjj / pybasicbayes
☆154Updated 5 years ago
Alternatives and similar repositories for pybasicbayes:
Users that are interested in pybasicbayes are comparing it to the libraries listed below
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- ☆93Updated 6 years ago
- autoregressive plugin☆27Updated 2 years ago
- some tools for gaussian linear dynamical systems☆89Updated 6 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 6 years ago
- Implementation of Hidden Markov Models in pymc3☆60Updated 7 years ago
- My PhD Thesis☆22Updated 8 years ago
- Structured Inference Networks for Nonlinear State Space Models☆267Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Scikit-learn compatible estimation of general graphical models☆246Updated 10 months ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- Collapsed Variational Bayes☆68Updated 5 years ago
- Dirichlet MLE python library☆115Updated 10 months ago
- ☆555Updated 3 weeks ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- code for Structured Variational Autoencoders☆351Updated 6 years ago
- Variational Fourier Features☆83Updated 3 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- ELFI - Engine for Likelihood-Free Inference☆272Updated 7 months ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆76Updated 11 months ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Bayesian nonparametric machine learning for Python☆216Updated last year
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago