Common approaches to text augmentation, from random text-editing perturbations, back translation, to model-based transformations.
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Updated
Dec 27, 2021 - Jupyter Notebook
Common approaches to text augmentation, from random text-editing perturbations, back translation, to model-based transformations.
This repository contains code and resources for building a Convolutional Neural Network (CNN) that can recognize American Sign Language (ASL) images. The model is capable of classifying letters in ASL using high accuracy. The process involves data preprocessing, creating a CNN model, training, evaluation, and utilizing the trained model to recogniz
Disease - Symptom Dataset Cleaning and Augmenting Process
My demonstration of RNN, LSTM, Dropouts, and Data Augmentation Techniques for Texts using Spam and Ham Dataset.
This project investigates the impact of generative AI on the performance of convolutional neural networks (CNNs) in image classification tasks, specifically in the context of limited data.
Spotify Classification Problem 2023
RoBERTa에 LSTM 레이어를 추가하여 Multi label dataset 분류
A light weight CLI for augmenting image datasets for deep learning and ML projects
Applying data augmentation to deep-learning-based (CNN) image classification task.
Node Duplication Improves Cold-start Link Prediction
1st Place (🏆) for Best Face Recognition System in the Face & Gesture Analysis Challenge at UPF
A study that aims to unfold what emotions did Filipino students manifest during a year of Covid-19 quarantines.
This is an effort to provide different approaches towards human action recognition from video. A method to perform data augmentation on skeletal data so as to achieve a view independent recognition approach is included.
Generative based data augmentation for ACPs
This is the official source code of the paper 'Features kept generative adversarial network data augmentation strategy for hyperspectral image classification'
The purpose of this research project is to compare traditional CNNs to vision transformers, can transformers give a higher AUC when classifying Atypical Femoral Fracture / Normal Femoral Fracture?
Unleashing the Power of CNNs for Precise American Sign Language Recognition.
Computational toolkit for efficient prediction of the thickness of 2D materials
Augmentation for CV using frequency shortcuts
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