mattjj / pybasicbayesLinks
☆155Updated 6 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.☆83Updated 5 years ago
- ☆98Updated 7 years ago
- some tools for gaussian linear dynamical systems☆90Updated 7 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆51Updated 7 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- My PhD Thesis☆22Updated 9 years ago
- autoregressive plugin☆27Updated 2 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Scikit-learn compatible estimation of general graphical models☆248Updated 3 months ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Variational Fourier Features☆85Updated 4 years ago
- ELFI - Engine for Likelihood-Free Inference☆277Updated 4 months ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- A collection of IPython notebooks from a graduate-level statistics course run by Tom Wallis and Philipp Berens☆27Updated 10 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- Bayesian nonparametric machine learning for Python☆228Updated 2 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- Dirichlet MLE python library☆117Updated last month
- ☆99Updated 7 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 10 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 3 years ago