datasciencecampus / synthgauge
☆27Updated last year
Alternatives and similar repositories for synthgauge:
Users that are interested in synthgauge are comparing it to the libraries listed below
- ☆65Updated this week
- R package for computing and visualizing fair ML metrics☆32Updated 2 years ago
- Spells for everyday living. (also a book coming out in 2025)☆64Updated last month
- Select, weight and analyze complex sample data☆62Updated last week
- R interface to CTGAN☆25Updated 2 years ago
- sdcMicro☆84Updated last month
- ☆27Updated 6 months ago
- Flexible tool for bias detection, visualization, and mitigation☆87Updated 2 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated 4 months ago
- ☆16Updated last year
- Create sparse and accurate risk scoring systems!☆36Updated 8 months ago
- Transparent and privacy-friendly synthetic data generation☆40Updated last week
- mixgb: multiple imputation through XGBoost☆23Updated 2 months ago
- Slides for Seattle University Course on Data Communications☆65Updated last year
- Similarity and distance measures for clustering and record linkage applications in R☆18Updated 3 years ago
- GBM intro talk (with R and Python code)☆17Updated 3 years ago
- A grammar of data manipulation for pandas inspired by tidyverse☆98Updated last year
- Pythonic interface to R's brms☆44Updated 3 years ago
- Find out if your data is what you think it is☆93Updated this week
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆38Updated 4 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 2 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated last year
- Catalogue of resources (R/Python/SQL/SAS/Stata/...) to reproduce the results of Eurostat Statistics Explained articles☆41Updated last week
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 4 years ago
- Version, share, deploy, and monitor models.☆65Updated last week
- Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control☆44Updated last year
- Explaining the output of machine learning models with more accurately estimated Shapley values☆154Updated this week
- Heterogeneous effects analysis of conjoint experiments using BART☆10Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- A Shiny app to help people learn (and play with) Hamiltonian Monte Carlo☆11Updated last month