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Search results for python data augmentation

data-augmentation x

253 search results found

Keras Audiodatagenerator ⭐ 44

Augmented Audio Data Generator for 1D-Convolutional Neural Networks

Pgp Chainer ⭐ 44

Chainer Implementation of Parallel Grid Pooling for Data Augmentation

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

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

Tripletloss Keras Tensorflow ⭐ 41

An example implementation of triplet-loss in tensorflow using keras

A time series signal analysis and classification framework

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

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.

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

Chainer Densenet ⭐ 39

Densely Connected Convolutional Network implementation by Chainer

Pathology He Auto Augment ⭐ 37

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

New Yolov1_pytorch ⭐ 37

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)

Pointcutmix ⭐ 35

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

Numpy Data Augmentation ⭐ 34

Data Augmentation using NumPy

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

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

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

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."

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.

Task_driven_data_augmentation ⭐ 29

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

Mask2json ⭐ 28

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

Keras Transform ⭐ 28

Library for data augmentation

Soft Contextual Data Augmentation

Ismir2015 ⭐ 27

CNN-based singing voice detection experiments

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

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

Noisemix ⭐ 27

NoiseMix - data generation for natural language

Volumentations ⭐ 25

Augmentation package for 3d data based on albumentaitons

Patho Gan ⭐ 24

Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"

Im2txt2im ⭐ 24

I2T2I: Text-to-Image Synthesis with textual data augmentation

Pytorch Ricap ⭐ 23

PyTorch implementation of RICAP (Random Image Cropping And Patching)

📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python

Pseudo 3d Tensorflow ⭐ 22

Tensorflow implement for Pseudo-3d-residual network.

Kg4zeroshottext ⭐ 22

Source code of the paper 'Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. NAACL-HLT 2019. '

Localizable Rotation ⭐ 21

Official PyTorch Repository of "Tailoring Self-Supervision for Supervised Learning" (ECCV 2022 Paper)

Adversarial Automixup ⭐ 21

Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)

Torchaug ⭐ 20

Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.

Unet Tensorflow ⭐ 20

A brief tensorflow implementation about UNet.

Recursivemix Pytorch ⭐ 20

Official Codes and Pretrained Models for RecursiveMix

Boosting Document Intelligence

Unsupervised_data_augmentation_pytorch ⭐ 20

A PyTorch implementation for Unsupervised Data Augmentation

Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency on Visual Corruptions for Single-Source Domain Generalization"

A Python package for geometric transformations of images for data augmentation in deep learning

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

KoTAN: Korean Translation and Augmentation with fine-tuned NLLB

Skin_disease_ai ⭐ 18

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

Targetran ⭐ 18

Python library for data augmentation in object detection or image classification model training

Sotastream ⭐ 18

A library for data streaming and augmentation

Simple Tools For Machine Learning ⭐ 18

Simple tools for deep learning. Including computer vision, machine learning,...

Feature Re-Learning with Data Augmentation for Video Relevance Prediction

Cv_a Fan ⭐ 17

[TMLR] "Adversarial Feature Augmentation and Normalization for Visual Recognition", Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu

Augmix Tf ⭐ 17

Implementation of AugMix (2020) in TensorFlow

Food101 Tensorflow ⭐ 16

🌮 Classify Food Images from the Food-101 Dataset Using Transfer Learning (ResNet50).

EMNLP 2022: Differentiable Data Augmentation for Contrastive Learning Sentence Representation Learning. https://arxiv.org/abs/2210.16536

Data Augmentation Using Gan ⭐ 16

In emotion classification task

Randstainna ⭐ 15

RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]

Bayesian Flownet ⭐ 15

Bayesian FlowNetS in Tensorflow

Kopikatapi ⭐ 15

KopikatAPI is Python library for interacting with the Kopikat API.

Style_ner ⭐ 15

“Data Augmentation for Cross-Domain Named Entity Recognition” (EMNLP 2021)

[KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"

Good Da In Kd ⭐ 14

[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

Library of TensorFlow layers for audio data processing and data augmentation

Code for EMNLP2020 paper: "Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space"

Implemenation of UNets for Lung Segmentation

Nat Acl2020 ⭐ 13

Deeptrafficsign ⭐ 13

Traffic sign recognition with Deep Convolutional Neural Networks

Tensorflow Data Loader ⭐ 13

Reading data into tensorflow using tf.data function

Exemplar Vae ⭐ 13

Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation

[CVPR 2021] Rigid Subset Mix (RSMix): Regularization Strategy for Point Cloud via Rigidly Mixed Samples

Dataaugmentation ⭐ 12

Data augmentation using OpenCV

Manifold_mixup ⭐ 12

Tensorflow implementation of the Manifold Mixup machine learning research paper

Fastaugment ⭐ 12

A handy data augmentation toolkit for image classification put in a single efficient TensorFlow op.

Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation

Training framework & tools for PyTorch-based machine learning projects.

code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation"

Erf Pspnet ⭐ 12

Pytorch code of Sequential/Hierarchical ERFNet with PSPNet for real-time semantic segmentation

Brain Synthesis Lesion Segmentation ⭐ 12

Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

Albumentations Examples ⭐ 12

画像データ拡張ライブラリAlbumentationsのJupyter上での実行例。

Conditionalglo ⭐ 11

Yi-Min Chou, Chien-Hung Chen, Keng-Hao Liu, and Chu-Song Chen, "Changing Background to Foreground: An Augmentation Method Based on Conditional Generative Network for Stingray Detection," IEEE International Conference on Image Processing, ICIP 2018, October 2018.

Semisupervised_timeseries_infogan ⭐ 11

A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a supervised loss function. So it's called semisupervised Info GAN.

3d Voxeldatagenerator ⭐ 11

Python generator for voxel data augmentation

Milkstraw Python Client ⭐ 11

Generate artificial data with AI to augment your existing datasets and improve your AI performance.

Nlp Augment ⭐ 10

A collection of utilities used in exploring data augmentation of low-resource parallel corpuses.

Dataaugmentationinterventions ⭐ 10

EMNLP 2022 "PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings"

A simple library for adding noise to data.

Data Augmentation For Nlp ⭐ 10

An implementation of data augmentation methods for natural language processing tasks.

Object Classification And Localization With Tensorflow ⭐ 10

This repository is containing an object classification & localization project for SINGLE object.

Data Augmentation ⭐ 10

These functions will randomly distort image data to amplify total amount of images for use in machine learning algorithms.

Conceptextraction ⭐ 10

Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.

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