data-augmentation-strategies 开源项目推荐（48 个）

HKUDS /LLMRec

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

Jiahao-Ma /puzzles-code

Official Implementation of Puzzles: Unbounded Video-Depth Augmentation for Scalable, End-to-End 3D Reconstruction.

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.

yahskapar /MA-rPPG-Video-Toolbox

《Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing》的源代码和预训练模型（WACV 2024，Oral）。

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".

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

billpsomas /metrix

[ICLR 2022] Official implementation of "It Takes Two to Tango: Mixup for Deep Metric Learning".

SeongwoongCho /adversarial-autoaugment-pytorch

Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)

MuhamedHabib /DataScienceProject

Projet-PI-4DS2

Advance-VeinTech-Innovators /AGVBench

An Augmentation Benchmark for Vein Identification task

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".

jafarbakhshaliyev /Wave-Augs

Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting

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".

Zhaoyi-Li21 /Compgen_l2s2

[ACL 2023] "Learning to Substitute Span towards Improving Compositional Generalization"