mattjj / pybasicbayesLinks
☆155Updated 5 years ago
Alternatives and similar repositories for pybasicbayes
Users that are interested in pybasicbayes are comparing it to the libraries listed below
Sorting:
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- ☆96Updated 7 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 7 years ago
- autoregressive plugin☆27Updated 2 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- some tools for gaussian linear dynamical systems☆89Updated 7 years ago
- Scikit-learn compatible estimation of general graphical models☆246Updated last month
- Black box variational inference for state space models☆2Updated 9 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- My PhD Thesis☆22Updated 9 years ago
- Collection of jupyter notebooks for demonstrating software.☆168Updated 2 years ago
- ☆98Updated 7 years ago
- ELFI - Engine for Likelihood-Free Inference☆277Updated 2 months ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Implementation of Hidden Markov Models in pymc3☆61Updated 8 years ago
- Bayesian nonparametric machine learning for Python☆225Updated 2 years ago
- Library of common tools for machine learning research.☆41Updated 7 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
- Dirichlet MLE python library☆117Updated 2 weeks ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Bayesian dessert for Lasagne☆84Updated 8 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 2 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago