rrtucci / Bayesuvius
a visual dictionary of Bayesian Networks and Causal Inference.
☆82Updated this week
Alternatives and similar repositories for Bayesuvius:
Users that are interested in Bayesuvius are comparing it to the libraries listed below
- Computational Statistics and Statistical Computing☆37Updated 3 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆24Updated 2 years ago
- Ancillaries for Algorithms for Decision Making☆90Updated last year
- ☆45Updated 4 years ago
- Markov Chain Monte Carlo Visualization Tools☆25Updated last month
- Page for the SML book☆49Updated 2 years ago
- Educational resources☆104Updated 3 years ago
- Repository containing the code of the projects presented in my personal website.☆39Updated this week
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆66Updated 7 months ago
- Bayesian statistics graduate course☆346Updated 3 months ago
- bayes-toolbox☆93Updated 2 months ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆19Updated this week
- A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.☆112Updated 3 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Python code for Computer Age Statistical Inference☆51Updated 5 years ago
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆68Updated 10 months ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 3 months ago
- Implementation of simulation based calibration for PyMC and Bambi☆47Updated this week
- python implementation of Peng Ding's "First Course in Causal Inference"☆158Updated 8 months ago
- Interactive visualization of Gaussian processes☆166Updated last year
- In which I play with the ideas surrounding causality☆51Updated 2 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated 8 months ago
- Short course on dimension reduction for AMSI☆35Updated 2 years ago
- Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook☆53Updated 3 years ago
- Bayesian inference for a logistic regression model in various languages☆43Updated last year
- ☆102Updated this week
- Code used in the causality course (401-4632-15) at ETH Zurich.☆21Updated 5 years ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 3 years ago
- Resources to learn more about Machine Learning and Artificial Intelligence☆27Updated 3 years ago
- Figures and code examples from Bayesian Analysis with Python (third edition)☆180Updated 3 weeks ago