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

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

[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

Data Augmentation For Object Detection using Pytorch and PIL

The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".

The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).

torch data augmentation toolbox (supports affine transform)

[IEEE RA-L 2023] Towards Better Data Exploitation In Self-Supervised Monocular Depth Estimation

Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)

Projet-PI-4DS2

[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".

Neural Fuzzy Repair (NFR) is a data augmentation pipeline, which integrates fuzzy matches (i.e. similar translations) into neural machine translation.

[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".

Codes for employing PySimMIBCI for MI-EEG data generation and for using such data with FBCNetToolbox models

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

Extra bits of unsanitized code for plotting, training, etc. related to our CVPR 2021 paper "Augmentation Strategies for Learning with Noisy Labels".

A toolkit to augment audios (e.g. noise, reverb, distort, speedup, packet loss, farfield effects).

One-shot generative distribution matching for augmented RF-based UAV identification

Computational toolkit for efficient prediction of the thickness of 2D materials