NEWS: JATE2.0 Beta.11 Released, see details below.
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Updated
Aug 24, 2023 - Java
NEWS: JATE2.0 Beta.11 Released, see details below.
TreeATE是Tree Automatic Test Equipment的缩写,专注服务于工厂成品或半成品测试自动化的一种开源软件工具平台。
Concurrent Mapping and Localization Library
STDF to Wafer Bin Map utility written in Python
Implements SemRe-Rank: improving automatic term extraction by incorporating semantic relatedness with personalised pagerank
Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
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.
Code for causal isotonic calibration for heterogeneous treatment effects (appeared in ICML, 2023)
Can Cross-domain Term Extraction Benefit from Cross-lingual Transfer?
Extract location of pads from a kicad layout. Useful for generating a test point report.
Make large ATE .stdf(.gz) files accessible (mostly PTR "RESULT" data, binning, test limits). Optionally fast binary import into Octave, with emphasis on working with multiple datasets.
Automatic Term Extraction with NOBI Sequence Labeling approach
Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"
A domain-aware automatic term extraction tool.
Non-parametric variable selection and inference via the outcome-adaptive Random Forest (OARF). Uses the IPTW estimator to estimate the ATE while the propensity score is estimated via OARF. This leads to smaller variance and bias. Only variables that are confounders or predictive of the outcome are selected for the propensity score.
Simple method for filling in a spreadsheet with defined equations. Useful for electronics testing.
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
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