data-augmentation-strategies
There are 38 repositories under data-augmentation-strategies topic.
HKUDS/LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
KentoNishi/Augmentation-for-LNL
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
JunlinHan/YOCO
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
anhtuan85/Data-Augmentation-for-Object-Detection
Data Augmentation For Object Detection using Pytorch and PIL
AkariAsai/logic_guided_qa
The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
yahskapar/MA-rPPG-Video-Toolbox
The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).
StacyYang/HzProc
torch data augmentation toolbox (supports affine transform)
LiuJF1226/BDEdepth
[IEEE RA-L 2023] Towards Better Data Exploitation In Self-Supervised Monocular Depth Estimation
SeongwoongCho/adversarial-autoaugment-pytorch
Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)
MuhamedHabib/DataScienceProject
Projet-PI-4DS2
RUCAIBox/CFCRS
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
lt3/nfr
Neural Fuzzy Repair (NFR) is a data augmentation pipeline, which integrates fuzzy matches (i.e. similar translations) into neural machine translation.
wxl1999/CFCRS
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
catalinamagalvan/PySimMIBCI
Codes for employing PySimMIBCI for MI-EEG data generation and for using such data with FBCNetToolbox models
KentoNishi/Aug-for-LNL-Extras
Extra bits of unsanitized code for plotting, training, etc. related to our CVPR 2021 paper "Augmentation Strategies for Learning with Noisy Labels".
sonosole/SpeechAugment.jl
A toolkit to augment audios (e.g. noise, reverb, distort, speedup, packet loss, farfield effects).
Zhaoyi-Li21/Compgen_l2s2
[ACL'2023 Oral] "Learning to Substitute Span towards Improving Compositional Generalization"
11785-Group-9/BMN-Boundary-Matching-Network
Pytorch implementation of the paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", along with three new modules to address overfitting issues found in the baseline model, and their ablation studies.
gmp007/THICK2D
Computational toolkit for efficient prediction of the thickness of 2D materials
nis-research/dfmX-augmentation
Augmentation for CV using frequency shortcuts
chayansraj/Vision-Transformer-Research
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?
saikeerthana-narra/American-Sign-Language-Detection-CNN
Unleashing the Power of CNNs for Precise American Sign Language Recognition.
snap-research/NodeDup
Node Duplication Improves Cold-start Link Prediction
AntonyPapadakis/HumanActionRecognitionCnns
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.
FelixyZhu/Image-Data-Augmentation-with-CNN-Image-Classification
Applying data augmentation to deep-learning-based (CNN) image classification task.
handsomewzy/FkGANDA
This is the official source code of the paper 'Features kept generative adversarial network data augmentation strategy for hyperspectral image classification'
ialexmp/FGA-Challenge
1st Place (🏆) for Best Face Recognition System in the Face & Gesture Analysis Challenge at UPF
ijhrecto/Taglish-Emotion-Recognition-of-Students-during-COVID-19
A study that aims to unfold what emotions did Filipino students manifest during a year of Covid-19 quarantines.
Sadik90/GAN-ML
Generative based data augmentation for ACPs
Chris96bal/ML_Classification
Spotify Classification Problem 2023
dhivyeshrk/Augmenting-Disease-Symptom-Dataset
Disease - Symptom Dataset Cleaning and Augmenting Process
kyritzb/Synthetic-Data-Classification-Experiment
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.
shareourenthusiasm/lstm_roberta_dacon
RoBERTa에 LSTM 레이어를 추가하여 Multi label dataset 분류
Amario1306619051/American-Sign-Language-Augmentation-and-CNN
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
gmzmercado/RNN-and-LSTM-Classification
My demonstration of RNN, LSTM, Dropouts, and Data Augmentation Techniques for Texts using Spam and Ham Dataset.