wafer-defects

There are 0 repository under wafer-defects topic.

• kannanjayachandran / Wafers-Fault-Detection

  End to end machine learning project to detects fault in the wafers based on sensor data

  machine-learningprojectflaskpythongithubgithub-codespacesgitkrakenjetbrainslearndata-engineeringdata-scienceflask-applicationpipelinesklearnwafer-defects
  Language:Python 12
• Wafers-Defect-Recognition-using-Visual-Transformer

  PanithanS / Wafers-Defect-Recognition-using-Visual-Transformer

  We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.

  computer-visiondata-analysisdefect-classificationdefect-detectionlithographymachine-learningmultilabel-classificationpattern-recognitionsemiconductor-manufacturingvisual-transformerwafer-defectswafermapyeildyeild-opimizationmixed-type-data-classificationmixedwm38
  Language:Jupyter Notebook 10

• Burhan-Q / ClassifyDefectMap_MixedWM38

  Classification of wafer defect map patterns

  classificationwafer-defectswafermapyolov8
  Language:Python 5

• vignes-12 / senior-design-project-28-wafer-defect-detection

  This project aims to process 2D images of semiconductor silicon wafers to identify any defects on the wafers as well as their corresponding locations.

  image-processingopencv-pythonpythoncv2matplotlib-pyplotwafer-datasetwafer-defectswafer-map
  Language:Python 5

• JNewman-cell / WaferMapNeuralNetworkClassification

  This is a neural network designed to classify wafer imperfections without feature engineering.

  deep-learningneural-networkwafer-defectswafermap
  Language:Jupyter Notebook 4

• suryanshyaknow / faulty-wafer-component-detection

  data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.

  machine-learningmachine-learning-algorithmsmachine-learning-pipelinesmachine-learning-projectwafer-defectswafersec2-instanceairflowawspython
  Language:Jupyter Notebook 1

• Anil-45 / Faulty_wafer_detection

  Faulty Wafer Detection

  classificationflaskrandom-forestsqlite3sqlite3-databasewaferwafer-defectsxgboost
  Language:Python 0

• gilzeevi25 / ScratchDetection

  This repo contains well-designed tabular features created through image processing techniques in order to predict a scratch on wafers.

  computer-visionconvolutionlightgbmscratchwafer-defectsclassificationfeature-engineeringfeature-importanceensemble-learninghyperparameter-tuning
  Language:Jupyter Notebook 0

• Mahenoor-Merchant / WaferFaultDetection

  This repository hosts a comprehensive end-to-end machine learning project focused on Wafer Fault Detection, implemented using Python with Flask.

  awsedaflaskmachine-learningmongodbpredictive-modelingpythonvscodewafer-defects
  Language:Jupyter Notebook

• suryanshyaknow / wafer-fault-detection

  data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.

  machine-learningmachine-learning-pipelinesmachine-learning-projectwafer-defectswafers
  Language:Jupyter Notebook