A project in the course of Causal Inference

Automated Test Equipment lab source code for the Master of Electronics and ICT course of Hardware Design at KU Leuven 2020-2021

Simple method for filling in a spreadsheet with defined equations. Useful for electronics testing.

A domain-aware automatic term extraction tool.

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

Can Cross-domain Term Extraction Benefit from Cross-lingual Transfer?

Caret Implementation of GRF

Causal inference with multiple treatments

ATE model trained on ACTER dataset (https://github.com/AylaRT/ACTER)

Automatic Term Extraction with NOBI Sequence Labeling approach

This project has scripts which can be used to compress test vectors or patterns generated to use on SoC testers like Advantest, Ultraflex. The concept is universal and can be extended to any SoC tester.

Integrative analyses of the average treatment effect combining big main data and smaller validation data

Simulation of Benkeser D, Cai W, van der Laan MJ (2019+). A nonparametric super-efficient estimator of the average treatment effect.

Approximately balanced estimation of average treatment effects in high dimensions.

opttx - Optimal Treatment Estimation

API to calculate odometry evaluation metrics.

Generalized Random Forests

R package for fast and easy doubly robust estimation of treatments effects