jluttine / tikz-bayesnetLinks
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
☆846Updated last year
Alternatives and similar repositories for tikz-bayesnet
Users that are interested in tikz-bayesnet are comparing it to the libraries listed below
Sorting:
- Render probabilistic graphical models using matplotlib☆680Updated last week
- Interactive Markov-chain Monte Carlo Javascript demos☆862Updated last year
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- ELFI - Engine for Likelihood-Free Inference☆276Updated 2 months ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆390Updated last year
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆339Updated 2 years ago
- code for Structured Variational Autoencoders☆350Updated 6 years ago
- A collection of LaTeX templates used for research, courses, and miscellanea.☆751Updated 4 years ago
- Gaussian processes in TensorFlow☆1,878Updated last month
- LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralne…☆242Updated 4 years ago
- A structured list of resources about Sum-Product Networks (SPNs)☆254Updated 4 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆404Updated last year
- Dirichlet MLE python library☆117Updated this week
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆304Updated 10 years ago
- Just a little MCMC☆227Updated last year
- A tool to visualize complex networks in LaTeX☆339Updated 4 years ago
- Structured Inference Networks for Nonlinear State Space Models☆272Updated 7 years ago
- Bayesian nonparametric machine learning for Python☆224Updated last year
- Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation☆414Updated 6 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Kernel structure discovery research code - likely to be unstable☆190Updated 9 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆461Updated 2 months ago
- megaman: Manifold Learning for Millions of Points☆328Updated 2 years ago
- ☆236Updated 8 years ago
- LaTeX Template for Mike Morrison's #betterposter☆308Updated 5 years ago
- Gaussian processes framework in python☆2,103Updated 3 weeks ago
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆838Updated last month
- Non-parametric Entropy Estimation Toolbox☆409Updated 2 years ago
- Rendered math (MathJax) with Slack's desktop client☆433Updated 3 years ago
- PyStan, the Python interface to Stan☆928Updated 4 years ago