data-augmentation-strategies

There are 1 repository under data-augmentation-strategies topic.

HKUDS / LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
content-based-recommendation data-augmentation-strategies graph-augmentation recommendation-system recommendation-with-side-information multi-modal-recommendation colloborative-filtering graph-learning
Language:Python 490
Jiahao-Ma / puzzles-code
Official Implementation of Puzzles: Unbounded Video-Depth Augmentation for Scalable, End-to-End 3D Reconstruction.
3d-reconstruction data-augmentation-strategies
Language:Jupyter Notebook 207
Augmentation-for-LNL
KentoNishi / Augmentation-for-LNL
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
label-noise label-noise-robustness cvpr2021 cvpr augmentation-policies semi-supervised-learning data-augmentation data-augmentation-strategies cifar10 cifar100 clothing1m
Language:Python 113
JunlinHan / YOCO
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
computer-vision classification contrastive-learning data-augmentation data-augmentation-strategies data-augmentations rain-removal super-resolution imagenet cifar10 cifar100 imagenet-classifier object-detection instance-segmentation icml pytorch
Language:Python 105
anhtuan85 / Data-Augmentation-for-Object-Detection
Data Augmentation For Object Detection using Pytorch and PIL
data-augmentation object-detection deep-learning data-augmentation-strategies detection pil pytorch cutout mixup
Language:Jupyter Notebook 80
AkariAsai / logic_guided_qa
The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
question-answering machine-reading-comprehension data-augmentation-strategies
Language:Python 71
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).
motion-analysis rppg motion-augmentation data-augmentation-strategies camera health health-sensing mobile mobile-health motion-transfer physiological-computing ppg remote-ppg computer-vision deep-learning healthcare healthcare-application remote-physiological-measurement vital-signs vital-signs-detection
Language:Python 70
StacyYang / HzProc
torch data augmentation toolbox (supports affine transform)
torch data-augmentation-strategies cuda affine-transformation
Language:C 54
LiuJF1226 / BDEdepth
[IEEE RA-L 2023] Towards Better Data Exploitation In Self-Supervised Monocular Depth Estimation
data-augmentation-strategies monocular-depth-estimation self-supervised-learning
Language:Python 39
SeongwoongCho / adversarial-autoaugment-pytorch
Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)
adversarial-autoaugment autoaugment deep-learning data-augmentation data-augmentation-strategies policy-gradient cifar computer-vision imagenet augmentation convol convolutional-neural-networks
Language:Python 21
MuhamedHabib / DataScienceProject
Projet-PI-4DS2
classification-models crisp-dm data-augmentation-strategies data-science default-payment-method extract-features nlp-machine-learning
Language:Jupyter Notebook 16
RUCAIBox / CFCRS
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
conversation conversational-ai conversational-bots dialog dialogue dialogue-systems recommendation recommendation-system recommender-system conversational-recommender-system data-augmentation data-augmentation-strategies data-augumentation pretrained-language-model pretrained-models pretraining conversational-recommendation
Language:Python 15
lt3 / nfr
Neural Fuzzy Repair (NFR) is a data augmentation pipeline, which integrates fuzzy matches (i.e. similar translations) into neural machine translation.
data-augmentation data-augmentation-strategies fuzzy-matching fuzzy-repair machine-translation machine-translation-data-processing natural-language-processing neural-fuzzy-repair nfr nlp
Language:Python 12
wxl1999 / CFCRS
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
conversation conversational-ai conversational-bots conversational-recommendation conversational-recommender-system data-augmentation data-augmentation-strategies data-augmentations dialog dialogue dialogue-systems recommendation recommendation-system recommender-system pretrained-language-model pretrained-models pretraining
Language:Python 10
catalinamagalvan / PySimMIBCI
Codes for employing PySimMIBCI for MI-EEG data generation and for using such data with FBCNetToolbox models
brain-computer-interface data-augmentation-strategies eeg motor-imagery simulation
Language:Jupyter Notebook 7
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".
python matplotlib jupyter-notebook data-augmentation-strategies label-noise-robustness label-noise cvpr2021
Language:Jupyter Notebook 7
sonosole / SpeechAugment.jl
A toolkit to augment audios (e.g. noise, reverb, distort, speedup, packet loss, farfield effects).
audio-effect audio-processing data-augmentation-strategies data-augmentations distortion farfield reverberation speed-perturbation
Language:Julia 7
Zhaoyi-Li21 / Compgen_l2s2
[ACL'2023 Oral] "Learning to Substitute Span towards Improving Compositional Generalization"
compositional-generalization data-augmentation-strategies language-models semantic-parsing
Language:Python 7
amir-kazemi / uav-rf-id
One-shot generative distribution matching for augmented RF-based UAV identification
data-augmentation-strategies generative-ai low-data-regime optimal-transport-theory
Language:Jupyter Notebook 5
gmp007 / THICK2D
Computational toolkit for efficient prediction of the thickness of 2D materials
data-augmentation-strategies deep-neural-networks machine-learning machine-learning-algorithms thickness-estimation two-dimensional-materials
Language:Python 5
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.
temporal-action-localization video-analysis deep-learning overfitting data-augmentation-strategies
Language:Python 4
nis-research / dfmX-augmentation
Augmentation for CV using frequency shortcuts
adversarial-defense data-augmentation data-augmentation-strategies fourier-transform frequency-analysis generalization model-robustness robustness shortcut-learning
Language:Python 4
saikeerthana-narra / American-Sign-Language-Detection-CNN
Unleashing the Power of CNNs for Precise American Sign Language Recognition.
convolutional-neural-networks deep-learning python batch-normalization data-augmentation-strategies keras-framework
Language:Jupyter Notebook 4
handsomewzy / FkGANDA
This is the official source code of the paper 'Features kept generative adversarial network data augmentation strategy for hyperspectral image classification'
data-augmentation-strategies gan hyperspectral-images
Language:Python 3
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?
cnn-classification data-augmentation-strategies efficientnet image-classification inception-v3 pytorch resnet tensorflow vgg19 vision-transformer
Language:Jupyter Notebook 2
MSD-IRIMAS / Data-Augmentation-4-TSC
Re-framing Time Series Augmentation Through the Lens of Generative Models
data-augmentation data-augmentation-strategies deep-learning machine-learning time-series time-series-analysis time-series-classification time-series-data-mining time-series-machine-learning
Language:Python 2
Sadik90 / GAN-ML
Generative based data augmentation for ACPs
anticancer augmentation data data-augmentation-strategies deep-neural-networks generative-adversarial-network generative-ai machine machine-learning oversampling-technique peptide-prediction peptides research-project varational-autoencoder
Language:Jupyter Notebook 2
snap-research / NodeDup
Node Duplication Improves Cold-start Link Prediction
cold-start data-augmentation data-augmentation-strategies gnn gnns graph graphml link-prediction ml recommendation-system recommender-system
Language:Python 2
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.
classification data-augmentation-strategies deep-learning human-action-recognition
Language:Python 1
FelixyZhu / Image-Data-Augmentation-with-CNN-Image-Classification
Applying data augmentation to deep-learning-based (CNN) image classification task.
classification classification-algorithm cnn cnn-classification cnn-keras data-augmentation data-augmentation-strategies data-science deep-learning deeplearning image-classification image-processing
Language:Jupyter Notebook 1
ialexmp / FGA-Challenge
1st Place (🏆) for Best Face Recognition System in the Face & Gesture Analysis Challenge at UPF
challenge cnn data-augmentation-strategies data-science deep-learning face-detection face-recognition image-classification vgg viola-jones
Language:Jupyter Notebook 1
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.
covid-19 emotion-recognition machine-learning natural-language-processing social-media data-augmentation-strategies text-augmentation
Language:Jupyter Notebook 1
Luckilyeee / Solar-Flare-Prediction-through-Time-Series-Data-Augmentation
Evaluating Time Series Augmentation Techniques for Deep Learning-Based Solar Flare Prediction (2025 ApJS)
class-imbalance-isssue data-augmentation-strategies solar-flare synthetic-data-generation undersampling
Language:Python 1
Ubin108 / Satellite-Image-Building-Area-Segmentation
2nd place, 2023 AI Innovation Challenge (정보통신기획평가원장상)
segmentation data-augmentation-strategies satellite-images
Language:Jupyter Notebook 1
AlecioP / forms-classifier
Classification of documents from an image
bag-of-words bert-embeddings computer-vision data-augmentation data-augmentation-strategies efficientnet few-shot few-shot-classifcation image-classification kraken layout-analysis ocr transfer-learning
Language:Python
ALKANNAD / CrackVisonX
CrackVisionX is a state-of-the-art framework for efficient binary concrete crack detection using deep learning.
crack-detection-deep-learning-concrete data-augmentation-strategies crackvisionx

data-augmentation-strategies

HKUDS / LLMRec

Jiahao-Ma / puzzles-code

KentoNishi / Augmentation-for-LNL

JunlinHan / YOCO

anhtuan85 / Data-Augmentation-for-Object-Detection

AkariAsai / logic_guided_qa

yahskapar / MA-rPPG-Video-Toolbox

StacyYang / HzProc

LiuJF1226 / BDEdepth

SeongwoongCho / adversarial-autoaugment-pytorch

MuhamedHabib / DataScienceProject

RUCAIBox / CFCRS

lt3 / nfr

wxl1999 / CFCRS

catalinamagalvan / PySimMIBCI

KentoNishi / Aug-for-LNL-Extras

sonosole / SpeechAugment.jl

Zhaoyi-Li21 / Compgen_l2s2

amir-kazemi / uav-rf-id

gmp007 / THICK2D

11785-Group-9 / BMN-Boundary-Matching-Network

nis-research / dfmX-augmentation

saikeerthana-narra / American-Sign-Language-Detection-CNN

handsomewzy / FkGANDA

chayansraj / Vision-Transformer-Research

MSD-IRIMAS / Data-Augmentation-4-TSC

Sadik90 / GAN-ML

snap-research / NodeDup

AntonyPapadakis / HumanActionRecognitionCnns

FelixyZhu / Image-Data-Augmentation-with-CNN-Image-Classification

ialexmp / FGA-Challenge

ijhrecto / Taglish-Emotion-Recognition-of-Students-during-COVID-19

Luckilyeee / Solar-Flare-Prediction-through-Time-Series-Data-Augmentation

Ubin108 / Satellite-Image-Building-Area-Segmentation

AlecioP / forms-classifier

ALKANNAD / CrackVisonX