Double Descent results for FCNNs on MNIST, extended by Label Noise (Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off) [Python/PyTorch]..

TemporAI: ML-centric Toolkit for Medical Time Series

Survival analysis with PyTorch

A framework for generating complex and realistic datasets for use in evaluating causal inference methods.

💊 Comparing causality methods in a fair and just way.

scikit-learn: machine learning in Python

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

(ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

Uplift modeling and causal inference with machine learning algorithms

scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library