lorentzenchr / responsible_ml_material
Material for the lecture Responsible ML
☆22Updated 3 months ago
Alternatives and similar repositories for responsible_ml_material:
Users that are interested in responsible_ml_material are comparing it to the libraries listed below
- intro to ML☆28Updated 2 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆20Updated 11 months ago
- Material for the 2-day block course "Deep Learning with Actuarial Applications in R"☆35Updated 3 years ago
- ☆12Updated 4 years ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆47Updated 3 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated 4 months ago
- code and demo for hierarchical stacking paper☆10Updated 3 years ago
- R implementation for random forests with distribution-based loss functions☆24Updated 5 years ago
- GluonTS Deep Learning with Modeltime☆41Updated last year
- Nonlinear Nonparametric Statistics☆72Updated 3 weeks ago
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆25Updated 2 years ago
- Distributional Random Forests (Cevid et al., 2020)☆43Updated last year
- Methods and tools for multistep-ahead time series conformal prediction.☆35Updated last month
- Friedman's H-statistics☆30Updated last week
- A Python package with explanation methods for extraction of feature interactions from predictive models☆30Updated last year
- ☆13Updated 2 years ago
- The Tidymodels Extension for Time Series Boosting Models☆57Updated 2 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated last year
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 4 years ago
- That's weird: Anomaly detection using R☆42Updated 4 months ago
- Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…☆33Updated 3 months ago
- Unstructured Code with interesting analysis☆37Updated 6 months ago
- scikit-learn compatible Python bindings for ranger C++ random forest library☆52Updated last year
- ☆19Updated last month
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Collection of Tools for PD Rating Model Development and Validation☆15Updated last year
- Tools for causal discovery in R☆19Updated last month
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆73Updated last year
- R package for Adaptive Conformal Inference☆13Updated 10 months ago