Topic: data-augmentation-strategies Goto Github
Some thing interesting about data-augmentation-strategies
Some thing interesting about data-augmentation-strategies
data-augmentation-strategies,The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
User: akariasai
data-augmentation-strategies,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
User: amario1306619051
data-augmentation-strategies,Data Augmentation For Object Detection using Pytorch and PIL
User: anhtuan85
data-augmentation-strategies,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.
User: antonypapadakis
data-augmentation-strategies,Codes for employing PySimMIBCI for MI-EEG data generation and for using such data with FBCNetToolbox models
User: catalinamagalvan
data-augmentation-strategies,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?
User: chayansraj
data-augmentation-strategies,Spotify Classification Problem 2023
User: chris96bal
Home Page: https://www.kaggle.com/competitions/cs9856-spotify-classification-problem-2023/data
data-augmentation-strategies,Disease - Symptom Dataset Cleaning and Augmenting Process
User: dhivyeshrk
data-augmentation-strategies,Applying data augmentation to deep-learning-based (CNN) image classification task.
User: felixyzhu
data-augmentation-strategies,Computational toolkit for efficient prediction of the thickness of 2D materials
User: gmp007
data-augmentation-strategies,My demonstration of RNN, LSTM, Dropouts, and Data Augmentation Techniques for Texts using Spam and Ham Dataset.
User: gmzmercado
data-augmentation-strategies,[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2311.00423
data-augmentation-strategies,1st Place (🏆) for Best Face Recognition System in the Face & Gesture Analysis Challenge at UPF
User: ialexmp
data-augmentation-strategies,A study that aims to unfold what emotions did Filipino students manifest during a year of Covid-19 quarantines.
User: ijhrecto
data-augmentation-strategies,Common approaches to text augmentation, from random text-editing perturbations, back translation, to model-based transformations.
User: jaaack-wang
data-augmentation-strategies,Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
User: junlinhan
data-augmentation-strategies,Extra bits of unsanitized code for plotting, training, etc. related to our CVPR 2021 paper "Augmentation Strategies for Learning with Noisy Labels".
User: kentonishi
Home Page: https://github.com/KentoNishi/Augmentation-for-LNL
data-augmentation-strategies,[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
User: kentonishi
data-augmentation-strategies,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.
User: kyritzb
data-augmentation-strategies,[IEEE RA-L 2023] Towards Better Data Exploitation In Self-Supervised Monocular Depth Estimation
User: liujf1226
data-augmentation-strategies,Neural Fuzzy Repair (NFR) is a data augmentation pipeline, which integrates fuzzy matches (i.e. similar translations) into neural machine translation.
Organization: lt3
data-augmentation-strategies,Projet-PI-4DS2
User: muhamedhabib
data-augmentation-strategies,Augmentation for CV using frequency shortcuts
User: nis-research
data-augmentation-strategies,The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).
Organization: roni-lab
Home Page: https://motion-matters.github.io/
data-augmentation-strategies,Unleashing the Power of CNNs for Precise American Sign Language Recognition.
User: saikeerthana-narra
data-augmentation-strategies,Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)
User: seongwoongcho
data-augmentation-strategies,RoBERTa에 LSTM 레이어를 추가하여 Multi label dataset 분류
Organization: shareourenthusiasm
data-augmentation-strategies,
Organization: shareourenthusiasm
data-augmentation-strategies,A light weight CLI for augmenting image datasets for deep learning and ML projects
User: shvbsle
data-augmentation-strategies,Node Duplication Improves Cold-start Link Prediction
Organization: snap-research
data-augmentation-strategies,A toolkit to augment audios (e.g. noise, reverb, distort, speedup, packet loss, farfield effects).
User: sonosole
data-augmentation-strategies,torch data augmentation toolbox (supports affine transform)
User: stacyyang
data-augmentation-strategies,[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
User: wxl1999
data-augmentation-strategies,Implementation of our paper "Learning to Substitute Span towards Improving Compositional Generalization" @ ACL'2023, Toronto, Canada.
User: zhaoyi-li21
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