ericsuh / dirichletLinks
Dirichlet MLE python library
☆117Updated 3 months ago
Alternatives and similar repositories for dirichlet
Users that are interested in dirichlet 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
- Bayesian nonparametric machine learning for Python☆233Updated 2 years ago
- Scikit-learn compatible estimation of general graphical models☆247Updated 5 months ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- ☆156Updated 6 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- ☆99Updated 7 years ago
- Variational Fourier Features☆85Updated 4 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆147Updated last year
- Kernel structure discovery research code - likely to be unstable☆193Updated 10 years ago
- python code for kernel methods☆41Updated 6 years ago
- ELFI - Engine for Likelihood-Free Inference☆276Updated 6 months ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- megaman: Manifold Learning for Millions of Points☆331Updated 2 years ago
- some tools for gaussian linear dynamical systems☆90Updated 7 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- Render probabilistic graphical models using matplotlib☆683Updated this week
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- A structured list of resources about Sum-Product Networks (SPNs)☆255Updated 4 years ago
- Structured Inference Networks for Nonlinear State Space Models☆275Updated 8 years ago
- Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm☆52Updated 4 years ago
- ☆241Updated 8 years ago
- Python toolbox for nonnegative matrix factorization☆115Updated 7 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017☆36Updated 6 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆51Updated 7 years ago