lorentzenchr / responsible_ml_materialLinks
Material for the lecture Responsible ML
☆22Updated last month
Alternatives and similar repositories for responsible_ml_material
Users that are interested in responsible_ml_material are comparing it to the libraries listed below
Sorting:
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Material for the 2-day block course "Deep Learning with Actuarial Applications in R"☆37Updated 3 years ago
- Friday Forecasting Talks materials☆11Updated last year
- Nonlinear Nonparametric Statistics☆76Updated last week
- intro to ML☆28Updated 5 months ago
- Repository containing the code of the projects presented in my personal website.☆42Updated last week
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆74Updated last year
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆23Updated last year
- 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
- Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)☆13Updated 2 weeks ago
- Methods and tools for multistep-ahead time series conformal prediction.☆38Updated 3 months ago
- This is the repository for the Python library mlsynth☆35Updated this week
- Official repository for the mcf package.☆20Updated 3 weeks ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆51Updated 4 years ago
- ☆13Updated 3 years ago
- Unstructured Code with interesting analysis☆37Updated 9 months ago
- Distributional Random Forests (Cevid et al., 2020)☆43Updated 2 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated 2 months ago
- Lecture Notes on Statistical Inference☆76Updated 8 months ago
- Bayesian Causal Forests☆48Updated last year
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆25Updated 2 years ago
- Shiny app for IFRS provisioning and estimated loss report☆9Updated 4 years ago
- Sparse estimation of large time series models☆31Updated last year
- code and demo for hierarchical stacking paper☆10Updated 4 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆101Updated 3 months ago
- A repository for nowcasting with signature methods☆24Updated 2 years ago
- R-Package for estimating CLV☆57Updated 3 months ago
- ☆33Updated 10 months ago
- GluonTS Deep Learning with Modeltime☆42Updated last year
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆49Updated 3 weeks ago