115 Open Source Data Augmentation Software Projects

A system for quickly generating training data with weak supervision

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

High-Level Training, Data Augmentation, and Utilities for Pytorch

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

Data augmentation for NLP, presented at EMNLP 2019

Data Augmentation For Object Detection

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

yolo(v3/v4) implementation in keras and tensorflow 2.2

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Medical image preprocessing and augmentation tools for deep learning.

Efficient Learning of Augmentation Policy Schedules

Deep Convolutional Neural Networks for Musical Source Separation

Light-weight Single Person Pose Estimator

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

Implementation of the mixup training method

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

A treasure chest for image classification powered by PaddlePaddle

DeltaPy - Tabular Data Augmentation (by @firmai)

Data augmentation tool for images

Streaming over lightweight data transformations

Kaldi-based Korean ASR (한국어 음성인식) open-source project

An implementation of "mixup: Beyond Empirical Risk Minimization"

DrQ: Data regularized Q

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Data Augmentation for NLP. NLP数据增强

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

A library for augmenting annotated audio data

A Python package for time series augmentation

Transforms for video datasets in pytorch

A library for soundscape synthesis and augmentation

一键中文数据增强包 ；中文EDA； NLP数据增强、NER数据增强 ：pip install nlpcda

Python package to corrupt arbitrary images.

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

A simpler way of reading and augmenting image segmentation data into TensorFlow

PyTorch implementation of AutoAugment.

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

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

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

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

Synthetic Occlusion Augmentation

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

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

Paper Lists, Notes and Slides, Focus on NLP.

A data generator for 2D object detection

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

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

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

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

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

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

Brain Tumor Detection Using Convolutional Neural Networks.

Tensor2tensor experiment with SpecAugment

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"

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

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

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

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

Differentiable Data Augmentation Library

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".

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

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

Data Augmentation using NumPy

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

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.

A time series signal analysis and classification framework

NoiseMix - data generation for natural language

Library for data augmentation

PyTorch implementation of RICAP (Random Image Cropping And Patching)

Augmented Audio Data Generator for 1D-Convolutional Neural Networks

💳 Extracting numbers from bankcard, based on Deep Learning. 基于深度学习的银行卡号识别与定位系统。

Bu repoda veri artırma (data augmentation) ile ilgili pratik uygulamalara ulaşabilirsiniz.

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

ResNet for Cifar10

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

A collection of awesome things about mixed sample data augmentation

A python library for instagram filters

DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus

Data Augmentation For Object Detection using Pytorch and PIL

3D volume data augmentation package inspired by albumentations

Implemenation of UNets for Lung Segmentation

Reading data into tensorflow using tf.data function

Augmentation package for 3d data based on albumentaitons

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.

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

Data augmentation using OpenCV

Python generator for voxel data augmentation

Applying RandAugment on PointNet++

Image rotation and cropping out the black borders in TensorFlow

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

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.