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data-augmentation x

385 search results found

Doccreator ⭐ 102

DIAR software for synthetic document image and groundtruth generation, with various degradation models for data augmentation

MoEx (Moment Exchange)

Speech Emotion Classification With Pytorch ⭐ 100

This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

Fcn_train ⭐ 100

The code includes all the file that you need in the training stage for FCN

[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)

Deep Learning_best Practices ⭐ 97

A python library for instagram filters

Official implementation of our FLAG paper (CVPR2022)

Coursera Gan Specialization ⭐ 93

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

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

Augmentation For Lnl ⭐ 89

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

Context_aug ⭐ 86

Context-driven data augmentation for Object Detection (ECCV'18)

Pedestrian Synthesis Gan ⭐ 85

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

Pytorch Auto Augment ⭐ 82

PyTorch implementation of AutoAugment.

Generalize Unseen Domains ⭐ 81

Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018

💡GENIUS – generating text using sketches!

Data augmentation using synthetic data for time series classification with deep residual networks

Pose Adv Aug ⭐ 79

Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

Awesome Mixup ⭐ 76

Awesome List of Mixup Augmentation Papers for Visual Representation Learning

Face_alignment ⭐ 76

caffe face alignment 300w

Emotionalconversionstargan ⭐ 75

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

Seq2seqdataaugmentationforlu ⭐ 73

This repo is code for the COLING 2018 paper: Sequence-to-sequence Data Augmentation for Dialogue Language Understanding.

Synthetic Occlusion ⭐ 70

Synthetic Occlusion Augmentation

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

Self Supervised Mvs ⭐ 70

Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

My implementation of RePr training scheme in PyTorch. https://arxiv.org/pdf/1811.07275.pdf

AAAI'21: Data Augmentation for Graph Neural Networks

NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation

GolfDB: A Video Database for Golf Swing Sequencing

Mnist Challenge ⭐ 64

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Data_generator_object_detection_2d ⭐ 63

A data generator for 2D object detection

This repository has implementations of data augmentation for NLP for Japanese.

Semantic_segmentation ⭐ 61

Semantic Segmentation using Fully Convolutional Neural Network.

Generative modeling of synthetic time series data and time series augmentations

Epcdepth ⭐ 59

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

How Far Can We Go With Mnist ⭐ 59

A collection of codes for 'how far can we go with MNIST' challenge

Pa Aug.pytorch ⭐ 58

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (IROS 2021)

Self Kd Lib ⭐ 56

[ECCV-2022] Official implementation of MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition && Pytorch Implementations of some Self-Knowledge Distillation and data augmentation methods

Da In Visualrl ⭐ 55

Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).

GAN based super-resolution (presented at ECCV 2018)

[ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang

ICLR 2023 - FedFA: Federated Feature Augmentation

Logic_guided_qa ⭐ 52

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

Mix Generation ⭐ 51

MixGen: A New Multi-Modal Data Augmentation

Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"

Kitanaqa ⭐ 47

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Unet Ants ⭐ 46

UNet deep learning model for medical image segmentation

Social_distancing_with_ai ⭐ 46

Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.

Specaugment ⭐ 45

Tensor2tensor experiment with SpecAugment

Keras Audiodatagenerator ⭐ 44

Augmented Audio Data Generator for 1D-Convolutional Neural Networks

Noisy Student Training Asr ⭐ 44

Pytorch implementation of Noisy Student Training for Automatic Speech Recognition and Automatic Pronunciation Error Detection problem

Implementation of the paper: Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

Machine_learning_course ⭐ 44

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Pgp Chainer ⭐ 44

Chainer Implementation of Parallel Grid Pooling for Data Augmentation

Fastai_sparse ⭐ 42

3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks

Handwriting_recogition_using_adversarial_learning ⭐ 41

"Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

F2gan Few Shot Image Generation ⭐ 41

Fusing-and-Filling GAN (F2GAN) for few-shot image generation, ACM MM2020

Tripletloss Keras Tensorflow ⭐ 41

An example implementation of triplet-loss in tensorflow using keras

A time series signal analysis and classification framework

Transformers Data Augmentation ⭐ 40

Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).

Audio_degrader ⭐ 40

Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmentation, evaluation in noisy conditions, etc.

Uda Pytorch ⭐ 39

Unsupervised Data Augmentation experiments in PyTorch

Brain Tumor Detection ⭐ 39

Brain Tumor Detection Using Convolutional Neural Networks.

Chainer Densenet ⭐ 39

Densely Connected Convolutional Network implementation by Chainer

New Yolov1_pytorch ⭐ 37

Haze Synthesis ⭐ 37

Hazy/Dusty Image Synthesis based on Monodepth2 and Atmospheric Scattering Model

Pathology He Auto Augment ⭐ 37

H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.

Skin Data Augmentation ⭐ 37

Source code for the paper 'Data Augmentation for Skin Lesion Analysis' - Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018

Consistency Adversarial ⭐ 36

Consistency Regularization for Adversarial Robustness (AAAI 2022)

Crnn Pytorch ⭐ 36

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

Retinal Vessel Segmentation ⭐ 35

Retinal Vessel Segmentation using U-Net architecture. DRIVE and STARE datasets are used.

Pointcutmix ⭐ 35

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'

Learning From Rules ⭐ 35

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Numpy Data Augmentation ⭐ 34

Data Augmentation using NumPy

Bird_species_classification ⭐ 34

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

Korean Easy Data Augmentation

Speech Music Detection ⭐ 33

Python framework for Speech and Music Detection using Keras.

Auggan Cross Domain Adaptation With Gan Based Dataaugmentation ⭐ 32

Advanced data augmentation with Generative Adversarial Networks for vehicle detection

Style Augmentation ⭐ 32

PyTorch implementation of neural style randomization for data augmentation

Advchain ⭐ 30

[Medical Image Analysis] Adversarial Data Augmentation with Chained Transformations (AdvChain)

Font2font ⭐ 30

An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning.

Physics Arx ⭐ 30

Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'21, Medical Physics'21, AAPM'21]

Lrebench ⭐ 30

Code for the EMNLP2022 paper "Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study."

Task_driven_data_augmentation ⭐ 29

semi-supervised and task driven data augmentation code to improve segmentation performance

Data Augmentation ⭐ 29

Code for paper : An Effective Data Augmentation for Person Re-identification. By providing this code, you can simply verify the validity of the method proposed in the paper.

Capricep ⭐ 28

An extended TSP (Time Stretched Pulse). CAPRICEP substantially replaces FVN. CAPRICEP enables interactive and real-time measurement of the linear time-invariant, the non-linear time-invariant, and random and time varying responses simultaneously.

Keras Transform ⭐ 28

Library for data augmentation

Mask2json ⭐ 28

a small tool for image augmentation, including mask files to json/xml files , image augmentation(flip,rotation,noise,...) and so on

Official implementation of "Intra-Source Style Augmentation for Improved Domain Generalization" (WACV 2023)

Noisemix ⭐ 27

NoiseMix - data generation for natural language

Official code of "Discover and Cure: Concept-aware Mitigation of Spurious Correlation" (ICML 2023)

Soft Contextual Data Augmentation

Gps Augment ⭐ 27

Simple but high-performing method for learning a policy of test-time augmentation

Ismir2015 ⭐ 27

CNN-based singing voice detection experiments

Differentiable Data Augmentation Library

Dataaugmentationtf ⭐ 26

Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.

101-200 of 385 search results

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