williambdean / pymc-mlflow-exampleLinks
MLflow logging for PyMC
☆14Updated 5 months ago
Alternatives and similar repositories for pymc-mlflow-example
Users that are interested in pymc-mlflow-example are comparing it to the libraries listed below
Sorting:
- A Beginner's Guide to State Space Modeling☆26Updated 2 months ago
- Bayesian Conjugate Models in Python☆38Updated last week
- Repository containing the code of the projects presented in my personal website.☆46Updated this week
- Fast Bayesian A/B and Multivariate testing.☆36Updated 3 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Unstructured Code with interesting analysis☆36Updated last year
- ☆135Updated 2 weeks ago
- This is the repository for the Python library mlsynth☆56Updated last month
- Tools for diagnostics and assessment of (machine learning) models☆39Updated last month
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- A Beginner's Guide to Variational Inference☆18Updated 9 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Presentation materials for PyMC Statespace☆26Updated last year
- Powerful add-ons for PyMC☆133Updated last week
- Berlin Time Series Analysis Repository☆105Updated 3 years ago
- code and demo for hierarchical stacking paper☆10Updated 4 years ago
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆70Updated this week
- Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.☆80Updated 2 weeks ago
- Educational resources☆105Updated 4 years ago
- ☆92Updated 3 weeks ago
- A multiverse of Prophet models for timeseries☆73Updated this week
- Power analysis and AB test analysis library☆47Updated last week
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆57Updated 8 months ago
- Forecasting 🇫🇷 elections with Bayesian statistics 🥳☆42Updated 3 years ago
- MetaLearners for CATE estimation☆48Updated last week
- Statistical computation and diagnostics for ArviZ.☆15Updated this week
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…☆32Updated 3 years ago
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- Exploring and eliciting probability distributions☆162Updated last month
- ☆18Updated 3 years ago