Code for reproducing Manifold Mixup results (ICML 2019)
deep-neural-networks deep-learning pytorch supervised-learning regularization data-augumentation supervised-machine-learning icml2019
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Mar 31, 2024 - Python
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data-augumentation
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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 ...
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Jun 22, 2023 - Python
The official GitHub page for the survey paper "A Survey on Data Augmentation in Large Model Era"
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Jul 10, 2024
[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
benchmark prompt efficient information-extraction dataset knowledge-graph self-training chinese emnlp data-augmentation kg relation-extraction data-augumentation long-tail re few-shot low-resource knowprompt lrebench
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Feb 23, 2024 - Python
yolo convolution face-recognition edge-detection alexnet transfer-learning triplet-loss data-augumentation face-verification siamese-network vgg-16 stride neural-style-transfer lenet-5 padding-same-valid fully-connected pooling-max-average resnets inception-network faster-r-cnn
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Jan 31, 2019 - Python
Implement mosaic image augmentation with YOLO format
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Mar 26, 2022 - Python
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
computer-vision deep-learning style-transfer representation-learning digital-pathology data-augumentation computational-pathology
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Feb 3, 2021 - Python
An example of how to automate the process of training data generation through gprMax for use in machine learning models.
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Dec 30, 2024 - Jupyter Notebook
Official release of the DMControl Generalization Benchmark 2 (DMC-GB2)
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Jul 21, 2025 - Python
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
dialogue dialog conversation recommendation-system recommender-system recommendation pretrained-models data-augmentation-strategies data-augmentation dialogue-systems conversational-bots data-augumentation conversational-ai pretraining pretrained-language-model conversational-recommendation conversational-recommender-system
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Jun 5, 2023 - Python
A binary-classifier(pneumonia vs normal) in xray14
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Jan 21, 2019 - Python
ReID + SFDA - Dual-Region Augmentation (Foreground Noise + Background Shuffle) for robust person re-identification (ReID) and source-free domain adaptation (SFDA).
pytorch augmentation data-augumentation re-id dukemtmc-reid person-re-identification reid market1501 computer-vison domain-adaption source-free-domain-generalization sfda
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Jan 6, 2026 - Python
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.
python aws csv aws-lambda dataset data-migration data-conversion mainframe ebcdic data-augumentation copybook ebcdic-to-ascii copybook-parser mainframe-data
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Jan 18, 2023 - Python
Data augmentation for time series classification
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Feb 3, 2021 - Python
Data Augmentation For Object Detection using Deep Learning with PyTorch
deep-neural-networks zoom-images object-detection crop-image data-augumentation object-detection-pipelines contrast-enhancement rotate-image flip-image brightness-control bounding-box saturations image-augmentations
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Aug 15, 2021 - Jupyter Notebook
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.
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Jan 19, 2019 - Python
Traffic Sign Detection CNN app
image-processing convolutional-neural-networks traffic-sign-classification data-augumentation traffic-sign-recognition
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Nov 22, 2021 - Jupyter Notebook
This repository is a collection of PyTorch code examples, covering beginner to advanced topics, and including implementation of CNN models from scratch.
pytorch tensorboard transfer-learning lenet-architecture imbalanced-data data-augumentation neural-style-transfer inceptionnet custom-dataset albumentations vgg-architecture
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May 6, 2023 - Jupyter Notebook
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.
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Aug 5, 2018 - Python
A deep learning model for detecting and classifying various car parts, designed to assist firms in automating and optimizing parts identification and inventory management.
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Jul 23, 2024 - Jupyter Notebook
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