pymc-labs / ai_decision_workshopLinks
Notebooks for AI-Powered Decision Making Under Uncertainty
☆28Updated last month
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
- Exploring and eliciting probability distributions☆146Updated last week
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆24Updated last week
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Powerful add-ons for PyMC☆113Updated this week
- ☆18Updated 2 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆94Updated last year
- bayes-toolbox☆93Updated 2 months ago
- A Beginner's Guide to Variational Inference☆18Updated 4 months ago
- ☆122Updated this week
- MetaLearners for CATE estimation☆45Updated this week
- A resource list for causality in statistics, data science and physics☆265Updated last month
- ☆42Updated 3 years ago
- Bayesian inference and posterior analysis for Python☆45Updated last year
- ☆12Updated 10 months ago
- Gaussian Process Model Building Interface☆51Updated 5 months ago
- In which I play with the ideas surrounding causality☆53Updated 3 years ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆168Updated last year
- Tools for an Aesara-based PPL.☆66Updated 10 months ago
- PyData London 2022 Tutorial☆67Updated 3 years ago
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- Simulation based calibration and generation of synthetic data.☆55Updated 2 months ago
- ArviZ modular plotting☆18Updated 2 weeks ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆40Updated last year
- Bayesian Regression Models in Pyro☆72Updated last year
- Efficient matrix representations for working with tabular data☆123Updated this week
- Database with posteriors of interest for Bayesian inference☆206Updated last week
- Bayesian Conjugate Models in Python☆32Updated this week
- Kullback-Leibler projections for Bayesian model selection in Python☆38Updated this week
- Text files for LST book☆28Updated 4 months ago