Alternatives and similar repositories for tikz-bayesnet:

Users that are interested in tikz-bayesnet are comparing it to the libraries listed below

• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆677Updated this week
• mattjj / svae
  code for Structured Variational Autoencoders
  ☆351Updated 6 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆887Updated 8 months ago
• mcleonard / sampyl
  MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
  ☆333Updated 2 years ago
• deselaers / latex-beamerposter
  The LaTeX beamerposter package
  ☆412Updated 3 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆392Updated 8 months ago
• ermongroup / cs228-notes
  Course notes for CS228: Probabilistic Graphical Models.
  ☆1,923Updated 9 months ago
• arranger1044 / awesome-spn
  A structured list of resources about Sum-Product Networks (SPNs)
  ☆252Updated 4 years ago
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆272Updated 6 months ago
• dustinvtran / latex-templates
  A collection of LaTeX templates used for research, courses, and miscellanea.
  ☆746Updated 3 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆692Updated 3 months ago
• rafaelbailo / betterposter-latex-template
  LaTeX Template for Mike Morrison's #betterposter
  ☆301Updated 5 years ago
• chi-feng / mcmc-demo
  Interactive Markov-chain Monte Carlo Javascript demos
  ☆814Updated 7 months ago
• pymanopt / pymanopt
  Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
  ☆785Updated last month
• hackl / tikz-network
  A tool to visualize complex networks in LaTeX
  ☆329Updated 3 years ago
• rmcantin / bayesopt
  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
  ☆405Updated last year
• dilinwang820 / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆389Updated 9 months ago
• echen / dirichlet-process
  Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
  ☆302Updated 9 years ago
• tdhopper / notes-on-dirichlet-processes
  Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
  ☆414Updated 5 years ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,857Updated 2 weeks ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆221Updated 3 years ago
• clinicalml / structuredinference
  Structured Inference Networks for Nonlinear State Space Models
  ☆267Updated 7 years ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆450Updated 11 months ago
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆921Updated 3 years ago
• anishathalye / gemini
  Gemini is a modern LaTex beamerposter theme 🖼
  ☆1,026Updated last month
• nchopin / particles
  Sequential Monte Carlo in python
  ☆428Updated 3 months ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆515Updated 3 years ago
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,004Updated last year
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆266Updated 4 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆244Updated 9 months ago