Code for reproducing Manifold Mixup results (ICML 2019)
This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data …
The official GitHub page for the survey paper "A Survey on Data Augmentation in Large Model Era"
[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Implement mosaic image augmentation with YOLO format
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
An example of how to automate the process of training data generation through gprMax for use in machine learning models.
A binary-classifier(pneumonia vs normal) in xray14
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
This solution is designed to help you unlock legacy mainframe data by migrating data files from mainframe systems to AWS. By migrating the data, you can make use of the powerful analytics, machine learning, and other services available in AWS to gain insights and make better decisions based on the data.
Data Augmentation For Object Detection using Deep Learning with PyTorch
Data augmentation for time series classification
Main idea of this project was making some new data using simple registration technique from existing CT data. This code be a possible alternative of arbitrary augmentation such as flip, rotation, zoom etc.
Classifies whether an image is of a dog or cat using pre-trained models
Traffic Sign Detection CNN app
Script to randomly apply Geometric Transformations/Noise on an image, generating an output slightly different (or not). This is usually used in Machine Learning for data augmentation.
This repository is a collection of PyTorch code examples, covering beginner to advanced topics, and including implementation of CNN models from scratch.
Classification of flowers , by finetuning Resnets and Inception models also image augmentation and random image erasing
Add a description, image, and links to the data-augumentation topic page so that developers can more easily learn about it.
To associate your repository with the data-augumentation topic, visit your repo's landing page and select "manage topics."