a571-op

VQ-VAE

Minimalist implementation of VQ-VAE in Pytorch

wbm_project

wbm_project_0208

wafer_defect_inspection

defect patterns classification of wm-811k wafer map

pytorch-MNIST-CelebA-GAN-DCGAN

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

NMF-For-Classification-of-Defects-on-Steel-Surface-

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

Semi-Supervised-Learning-GAN

Semi-supervised Learning GAN

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

signal2image-modules-in-deep-neural-networks-for-eeg-classification

WaferDefects

Finding defects in wafers.

nexperia

detect defects of semiconductors

wafer_map_classification

ActiveLearning_ImageClassification

Active Learning for Multiclass Image Classification on Fruits360 Dataset

wafer-map-active-learning

Implementation of "Active Learning of Convolutional Neural Network for Cost-effective Wafer Map Pattern Classification".

chip-wafer-classification-deep-learning

This project uses AWS machine learning and IoT tools to develop a deep learning defect classification model and use it for real-time defect detection on a device.

SiliconWaferDefectDetection

A silicon wafer defect detection algorithm by python,now includes location and crack detection, further more

wafer-defect-detection

wafer_classification

WaferMap

WMPC_Stacking_TF2

Wafer map pattern classification using stacking ensemble with TF2 Keras

awesome-industrial-machine-datasets

Semiconductor-particle-defect-detection-and-classification

Caffe classification

Surface-Defect-Image-Classification-with-Convolutional-Neural-Network

The proposed idea is to use convolutional neural network (CNN) to classify defects on the semiconductor wafer substrate. There are total 7 classes to be classified. Data augmentation by Generative Adversarial Network (GAN) is applied on 2 of the classes to improve classification accuracy.

DAGAN

DAGAN: Data Augmentation Generative Adversarial Networks

Tiny-Defect-Detection-for-PCB

This is a repository about PCB defect detection.

Wafer_maps

Pattern classification on wafer maps

WaPIRL

Original PyTorch implementation of the paper 'Self-Supervised Representation Learning for Wafer Bin Map Defect Pattern Classification'

ASL

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

DualCheXNet

The official split standards and non-official split standards of the ChestXray14 dataset.

Keras-Multi-Label-Image-Classification

Keras- Multi Label Image Classification

ML-ROS-multi-label-random-oversampling

unofficial Pytorch implementation of ML-ROS in Addressing imbalance in multi-label classification Measures and random resampling algorithms