🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research are very important. 🐋

GitHub Action for Code Inspector

Product of Pragmatic AI Labs: Machine Learning, Statistics and Utilities around Developer Productivity, Company Productivity and Project Productivity

Package to compute trap-assisted electron and hole capture in semiconducting compounds

Implementation for computing nonradiative recombination rates in semiconductors

InjuredPixels (for Windows) can help you check your PC, laptop or tablet screen for dead pixels, scratches or defects.

Simpler Transfer Learning (Using "Bellwethers"). ARXIV link: https://arxiv.org/abs/1703.06218

A collation of defect parameters in semiconductors

PixelHealer (for Windows) can help you try to fix dead pixels by yourself, before running back to the store!

Non-negative matrix factorization is applied for classification of defects on steel surface using CNN

Monte Carlo codes to simulate cation disorder in kesterite semiconductors

Material defect detection with Pulse Thermography

Imaging system for analyzing defects of semiconductor wafers and chips

Application for searching for defects in plates (Ellipse method and Time-reversal)

InjuredPixels (for Android) can help you check your entire screen for dead pixels, scratches or other defects.

This node script searches an Atlassian JIRA instance for defects and creates a task for each in a VersionOne story. It ignores JIRAs that may have already been added from a previous run.

Defect tracking on Trello

A python package to compute zero-field-splitting tensors for molecules and spin quantum bits in semiconductors.

A set of tools and structures for modelling perovskite polytypes

Melt pool monitoring in a metal 3D printer. Tracks area of the melt pool, intensity, and radius. The variations of the melt pool are used to detect build defects. Meshflow Limited

How to create a Pareto Chart using Pandas and Matplotib.

Code Quality and Software Agility is an invaluable resource for understanding the software quality trade-offs at both the code and organizational levels. It covers testing and monitoring strategies, requirements management, team agility, and decision making.

The WebDefect is web system designed to work with images. The main operations are computing image characteristics, displaying information on a graph and searching for defects in material images. The search and classification is based on a feature that the user pre-selects.

Supplementary material accompanying Frey, N. C.; Akinwande, D.; Jariwala, D.; Shenoy, V. B. Machine Learning-Enabled Design of Point Defects in 2D Materials for Quantum and Neuromorphic Information Processing, ACS Nano (2020).

This repository contains a fully trained neural network which is used as a binary classifier to distinguish clearwood and defects. Several Jupyter Notebooks are presented in the GitHub page to help you use the wood classifier.

Testing Harness for transactions, messages, defects, validation, and protocol benchmarking

Hacktivity Dump