dataaugmentation
There are 1 repository under dataaugmentation topic.
SALT-NLP / MixText
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
Language:Jupyter Notebook 346GaryYufei / PromDA
Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"
Language:Python 67Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"
Language:Python 42jaaack-wang / Chinese-Synonyms
A large high-quality corpus of Chinese synonyms 一个大型、高质量的中文同义词语料库。
Language:Jupyter Notebook 30Kazuhito00 / albumentations-examples
画像データ拡張ライブラリAlbumentationsのJupyter上での実行例。
Language:Jupyter Notebook 20Hiwyl / data_prep
适用于目标检测VOC格式的数据增强工具包，包含各种像素级增广方式和形变增广，如：rotate、crop、rotation、flip、tile、滑动窗口、mosaic等；数据格式转换：coco_2_voc、xml_for_u_yolo等
Language:Python 19kshitij-raj / Melanoma-Skin-Cancer-Detection
Build a CNN based model which can accurately detect melanoma
Language:Jupyter Notebook 17- Language:Dart 16
Code for "Semi-Supervised Models via Data Augmentation for Classifying Interactive Affective Responses"
Language:Python 15Code for "Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection"
Language:Python 15dsabarinathan / Ultrasound-Image-Classification
Thyroid Nodule image Classification based on Geometric and Morphological Features
Language:MATLAB 5- Language:Jupyter Notebook 5
Tensorflow2/KerasのImageDataGenerator向けのmixupの実装。
Language:Jupyter Notebook 4AlessandroMinervini / Data_Augmentation_for_Deep_Learning
Automatic Data Augmentation for Deep Learning techniques
Language:Python 3CDInstitute / MongeNET
Transfer Learning and Data Augmentation Techniques for Sketch Recognition
kashishsinghyadav / Face-Recogination-for-transaction-system
Implement secure transaction system using keras deep learning model for recogination and , intergrated otp verification and jwt authentication for enhancing the more security
Language:Python 3BendiXB / AugmentLabelIMG
A simple python-script to augment an annotated dataset in JPG/XML Format as used by LabelIMG (https://github.com/tzutalin/labelImg) and now Label Studio. The script will rotate the images 4 times and mirror the resulting images and the annotations making for an expansion by the factor of 8.
Language:Python 2Tensorflow2(Keras)のImageDataGeneratorのJupyter上での実行例。
Language:Jupyter Notebook 2- Image_classificationUsingCNN
Aadi-stack / Image_classificationUsingCNN
Cats vs dogs classification using deep learning. Data augmentation and convolutional neural networks.
Language:Jupyter Notebook 1 - Language:Python 1
anvdn / SurgicalPhaseRecognition
Developed phase recognition models based on MobileNetV2 to classify frames from Hernia surgery videos.
Language:Jupyter Notebook 1its-Kumar / signlang_project
Major Project in Final Year B.Tech (IT). Live Stream Sign Language Detection using Deep Learning.
Language:Jupyter Notebook 1Jimoh1993 / Create-Image-Dataset-using-Data-Augmentation-using-Keras-Deep-Learning-Data-Science
This tutorial demonstrates data augmentation: a technique to increase the diversity of your training set by applying random (but realistic) transformations, such as image rotation. You will learn how to apply data augmentation in two ways: Use the Keras preprocessing layers, such as tf. keras.
Language:Jupyter Notebook 1- Language:Jupyter Notebook 1
Tensorflow2/KerasのImageDataGenerator向けのcutmixの実装。
Language:Jupyter Notebook 1khawajatalhahaseeb / Image-Data-Augmentation
Image Data Augmentation using Keras.
Language:Jupyter Notebook 1naureen20 / Image-Classification-using-Transfer-Learning-and-optimal-Learning-Rate-Estimation
Classifying Images of 10 categories of animals taken from Kaggle Database using VGG16, ResNet-50 and imagenet. Learning Rates for respective models is Estimated from Epoch Vs Learning Rate graph obtained using Learning rate finder function
Language:Jupyter Notebook 1ShivamAryaJha / Raining-Cats-Dogs
A binary classifier that uses CovNets and Image Data Augmentation to classify images of cats and dogs.
Language:Jupyter Notebook 1BodaKalyanSingh / Covid-19-Detection-using-Chest-X-Ray
•Developed a Convolution Neural Network (CNN) model from scratch for detecting Covid-19 using chest X-Ray images •Achieved highest accuracy of 92.24% and 96.66% on training and testing set post data augmentation techniques
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
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Becky-Kwon / korean-translator
Data Augmentation을 위한 Back Translation 과정에 사용한 Translator 정리
Language:Pythondhivyeshrk / Augmenting-Disease-Symptom-Dataset
Disease - Symptom Dataset Cleaning and Augmenting Process
Language:Jupyter Notebookdomingosdeeulariadumba / superstore-sales_clusterprediction
Superstore clusters prediction with Lasso and Ridge
Language:PythonPurvikaJoshi01 / Classification-of-Snake
It a project on classification of species of snake into venomous and non-venomous using a Deep learning model. This repository consists of whole journey from using CNN to using transfer learning with MobileNetV2 as pre trained model
Language:Jupyter NotebookThis repository presents a gemstone classification project employing Transfer Learning with MobileNetV2, processing a dataset comprising 3200+ images spanning 87 classes. TensorFlow and Keras facilitated data preprocessing, augmentation, and model training. Through fine-tuning and leveraging pre-trained features.
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