pymc-labs / ai_decision_workshopLinks
Notebooks for AI-Powered Decision Making Under Uncertainty
☆25Updated last week
Alternatives and similar repositories for ai_decision_workshop
Users that are interested in ai_decision_workshop are comparing it to the libraries listed below
Sorting:
- Educational resources☆104Updated 3 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆94Updated 11 months ago
- Exploring and eliciting probability distributions☆145Updated 3 weeks ago
- ☆18Updated 2 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆24Updated this week
- Bayesian inference and posterior analysis for Python☆44Updated last year
- A Beginner's Guide to Variational Inference☆18Updated 3 months ago
- ☆122Updated last week
- Powerful add-ons for PyMC☆109Updated this week
- Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…☆73Updated last year
- ArviZ modular plotting☆18Updated this week
- bayes-toolbox☆93Updated last month
- ☆12Updated 9 months ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆165Updated last year
- ☆42Updated 3 years ago
- Database with posteriors of interest for Bayesian inference☆205Updated 2 months ago
- Inference case studies in jupyter☆93Updated 6 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆67Updated 5 months ago
- Simulation based calibration and generation of synthetic data.☆54Updated last month
- Kullback-Leibler projections for Bayesian model selection in Python☆38Updated 3 months ago
- ☆36Updated 5 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- A resource list for causality in statistics, data science and physics☆265Updated 2 weeks ago
- Bayesian Conjugate Models in Python☆31Updated last week
- Lectures on Quantitative Economics Using JAX☆38Updated this week
- In which I play with the ideas surrounding causality☆53Updated 3 years ago
- Gaussian Process Model Building Interface☆51Updated 5 months ago
- A system for Bayesian estimation of state space models using PyMC☆35Updated 3 weeks ago
- Code and data to reproduce the transfer of a learned posterior on one time series as a new prior on a related time series to model yearly…☆15Updated 6 years ago