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。

NEWS: JATE2.0 Beta.11 Released, see details below.

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

Code for causal isotonic calibration for heterogeneous treatment effects (appeared in ICML, 2023)

Extract location of pads from a kicad layout. Useful for generating a test point report.

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.

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

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.

Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"

Automatic Term Extraction with NOBI Sequence Labeling approach

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

A domain-aware automatic term extraction tool.

A project in the course of Causal Inference

Node-RED flow for automated testing of DCP405 module

Implementation of an adaptive experimental design algorithm

A Node-RED nodes to work with EEZ BB3

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.