MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
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Updated
Jun 5, 2020 - Jupyter Notebook
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"
Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"
A large high-quality corpus of Chinese synonyms 一个大型、高质量的中文同义词语料库。
Build a CNN based model which can accurately detect melanoma
画像データ拡張ライブラリAlbumentationsのJupyter上での実行例。
American Sign Language to English real time Conversion App
Code for "Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection"
Code for "Semi-Supervised Models via Data Augmentation for Classifying Interactive Affective Responses"
Tensorflow2/KerasのImageDataGenerator向けのmixupの実装。
Implement secure transaction system using keras deep learning model for recogination and , intergrated otp verification and jwt authentication for enhancing the more security
Thyroid Nodule image Classification based on Geometric and Morphological Features
This project is DEMO for the app we have provide for Spinning and weaving company in Egypt. It helps in detect the cotton type based of microscope image.
Automatic Data Augmentation for Deep Learning techniques
Training and evaluating skin type images using (CNN) models via transfer learning, along with personalized recommendations based on classified skin type predictions generated by OpenAI's language model.
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.
Tensorflow2(Keras)のImageDataGeneratorのJupyter上での実行例。
Image Data Augmentation using Keras.
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