defects

There are 54 repositories under defects topic.

  • Surface-Defect-Detection

    Charmve/Surface-Defect-Detection

    📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

    Language:Python3.8k5218583
  • Ericsson/codechecker

    CodeChecker is an analyzer tooling, defect database and viewer extension for static and dynamic analyzer tools.

    Language:Python2.5k521.5k428
  • doped

    SMTG-Bham/doped

    doped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defect simulation workflow in an efficient, reproducible, user-friendly yet powerful and fully-customisable manner.

    Language:Python211135937
  • WMD-group/CarrierCapture.jl

    Julia package to compute trap-assisted electron and hole capture in semiconductors

    Language:Jupyter Notebook56241224
  • SMTG-Bham/easyunfold

    Band structure unfolding made easy!

    Language:Python5552712
  • mturiansky/nonrad

    Implementation for computing nonradiative recombination rates in semiconductors

    Language:Python493622
  • noahgift/devml

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

    Language:Jupyter Notebook2852622
  • orc-tuni/dark-spot-mapper

    Imaging system for analyzing defects of semiconductor wafers and chips

    Language:Python22007
  • MichaelHotaling/klarfkit

    Python utilities for loading, plotting, and editing wafer defect maps known as KLA Reference Files (KLARFs)

    Language:Python20359
  • whisperity/CodeChecker-Action

    Execute static analysis through CodeChecker in the CI.

    Language:Shell18245
  • polystat/awesome-bugs

    A taxonomy of defects with a benchmarking script that validates which of them can be spot by which static analyzers

    Language:Python162135
  • JuDFTteam/aiida-kkr

    AiiDA plugin of the high-performance density functional theory code JuKKR (www.judft.de) for high-throughput electronic structure calculations.

    Language:Python1448610
  • hema-ted/pyzfs

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

    Language:Python1121411
  • MK8J/semiconductorDefects

    A collation of defect parameters in semiconductors

    Language:TeX11105
  • WMD-group/polytype

    A set of tools and structures for modelling perovskite polytypes

    Language:Jupyter Notebook112104
  • aurelitec/injuredpixels-windows

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

    Language:C#10200
  • aurelitec/pixelhealer-windows

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

    Language:C#10300
  • modern-email/defects

    Collection of real-world email defects

  • NeroHin/defect-detection-and-segment-deep-learning

    Detection and Segmentation in Powder Spreading Process of Magnetic Material Additive Manufacturing

    Language:Jupyter Notebook9101
  • JuDFTteam/JuKKR

    Full-potential Korringa-Kohn-Rostoker Green function code JuKKR: All-electron DFT (repo mirror)

    Language:Fortran8604
  • rahlk/Bellwether

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

    Language:Python82115
  • Howeng98/Anomaly_Inspection_Datasets

    A references and discriptions for anomaly, inspection, defect detection datasets.

  • dnstanciu/pool-tracker

    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

    Language:Jupyter Notebook6101
  • WMD-group/TrapLimitedConversion

    Computing solar energy conversion limits using the Trap Limited Conversion (TLC) metric

    Language:Python62362
  • jeffreythawkins/jira2v1

    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.

    Language:JavaScript5202
  • pranayshyamkuwar/NMF-For-Classification-of-Defects-on-Steel-Surface-

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

    Language:Python5002
  • neerajtiwari360/Pulse-Thermography

    Material defect detection with Pulse Thermography

    Language:Python4131
  • PasaOpasen/Search-for-defects-in-plates

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

    Language:C#4301
  • Ranjan2104/Hand-Gesture-Recognition-System

    Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms.[1] It is a subdiscipline of computer vision. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Current[when?] focuses in the field include emotion recognition from face and hand gesture recognition. Users can use simple gestures to control or interact with devices without physically touching them. Many approaches have been made using cameras and computer vision algorithms to interpret sign language.

    Language:Python4101
  • WMD-group/Eris

    Monte Carlo codes to simulate cation disorder in kesterite semiconductors

    Language:Jupyter Notebook4500
  • n6g7/autokaizen

    Defect tracking on Trello

    Language:JavaScript3126
  • ncfrey/defect-design

    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).

    Language:Jupyter Notebook3101
  • aurelitec/injuredpixels-android

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

    Language:Java2502
  • madvid/PhD_influence_HCN_V_defect_solubility_diffusion_O_in_Ni

    Part of my work realized during the years as a PhD student. I was in the team MEMO of the CIRIMAT lab in Toulouse. I study via a multi-scale approach the influence influence of H, C, N impurities and point defects on the solubility and diffusion of the oxygen in the nickel (fcc phase). My works was under the supervision of Damien Connétable and Daniel Monceau.

  • shakiliitju/Software-Testing-Course

    Software testing is a critical process in software development aimed at identifying defects, ensuring quality, and verifying that a product meets specified requirements.

  • Zixiangzann/Defect-Management---For-QA-By-QA

    Defect Management website build using React

    Language:JavaScript2100