lorentzenchr / responsible_ml_materialLinks
Material for the lecture Responsible ML
☆25Updated 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:
- Slides to accompany Forecasting: Principles and Practice, 3rd edition☆79Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆172Updated last year
- intro to ML☆28Updated last month
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆70Updated this week
- Friday Forecasting Talks materials☆11Updated last year
- This is the repository for the Python library mlsynth☆56Updated last month
- Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…☆36Updated 2 weeks ago
- Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.☆80Updated 2 weeks ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆25Updated last year
- code and demo for hierarchical stacking paper☆10Updated 4 years ago
- Dimension Reduction Methods for Multivariate Time Series☆61Updated 8 months ago
- Distributional Random Forests (Cevid et al., 2020)☆45Updated 3 weeks ago
- ☆12Updated 5 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆57Updated 8 months ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆131Updated 5 years ago
- Nonlinear Nonparametric Statistics☆101Updated last week
- Collection of Tools for PD Rating Model Development and Validation☆17Updated 2 months ago
- Half day workshop covering insurance pricing with GAMs, GLMs, trees and clustering.☆28Updated 4 years ago
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …☆152Updated 5 months ago
- The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.☆13Updated 2 years ago
- R-Package for estimating CLV☆60Updated 3 months ago
- Methods and tools for multistep-ahead time series conformal prediction.☆44Updated this week
- The Tidymodels Extension for Time Series Boosting Models☆59Updated 3 years ago
- That's weird: Anomaly detection using R☆43Updated 2 weeks ago
- Repository containing the code of the projects presented in my personal website.☆46Updated this week
- ☆92Updated 3 weeks ago
- Unstructured Code with interesting analysis☆36Updated last year
- Sparse estimation of large time series models☆32Updated 2 years ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 3 years ago