jluttine / tikz-bayesnet
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
☆831Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for tikz-bayesnet
- Render probabilistic graphical models using matplotlib☆675Updated this week
- ELFI - Engine for Likelihood-Free Inference☆267Updated 4 months ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆330Updated last year
- Bayesian Python: Bayesian inference tools for Python☆689Updated last month
- A collection of LaTeX templates used for research, courses, and miscellanea.☆746Updated 3 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆449Updated 9 months ago
- Interactive Markov-chain Monte Carlo Javascript demos☆799Updated 5 months ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated 6 months ago
- code for Structured Variational Autoencoders☆349Updated 6 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆887Updated 6 months ago
- Gaussian processes in TensorFlow☆1,849Updated this week
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆301Updated 9 years ago
- A tool to visualize complex networks in LaTeX☆329Updated 3 years ago
- LaTeX Template for Mike Morrison's #betterposter☆298Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆178Updated 10 years ago
- PyStan, the Python interface to Stan☆920Updated 3 years ago
- The LaTeX beamerposter package☆410Updated 2 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆386Updated 8 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,297Updated this week
- Kernel structure discovery research code - likely to be unstable☆188Updated 9 years ago
- Structured Inference Networks for Nonlinear State Space Models☆265Updated 7 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,914Updated 7 months ago
- Gemini is a modern LaTex beamerposter theme 🖼☆1,006Updated this week
- Sequential Monte Carlo in python☆415Updated last month
- megaman: Manifold Learning for Millions of Points☆322Updated last year
- Just a little MCMC☆217Updated 4 months ago
- Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation☆414Updated 5 years ago
- Manifold Markov chain Monte Carlo methods in Python☆221Updated last month
- Command-line tools for bibliographies.☆817Updated 2 months ago