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University of Hamburg
- Hamburg, Germany
- https://svenklaassen.github.io/
Highlights
- Pro
Stars
⚡ TabPFN: Foundation Model for Tabular Data ⚡
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
Covariate Balance Tables and Plots - An R package for assessing covariate balance
The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.
Code to replicate the simulation study of the paper: Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score Based Estimators
scikit-learn: machine learning in Python
Coverage Simulations for DoubleML package
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
A Python package for modular causal inference analysis and model evaluations
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
A clean, three-column Sphinx theme with Bootstrap for the PyData community
DoubleML - Double Machine Learning in Python
Shiny app illustrating the movie star example based on S. Cunningham "Causal Inference: The Mixtape" (Section 3.1.6)