There are 24 repositories under data-augmentation topic.
A system for quickly generating training data with weak supervision
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
High-Level Training, Data Augmentation, and Utilities for Pytorch
TorchIO: medical imaging for deep learning.
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
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda
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。
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Data Augmentation For Object Detection
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
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(all versions) implementation in keras and tensorflow 2.x
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Awesome Graph Self-Supervised Learning
Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
Light-weight Single Person Pose Estimator
Collection of papers and resources for data augmentation for NLP.
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Efficient Learning of Augmentation Policy Schedules
Deep Convolutional Neural Networks for Musical Source Separation
Implementation of the mixup training method
DeltaPy - Tabular Data Augmentation (by @firmai)
Copy-paste augmentation for segmentation and detection tasks
Data augmentation tool for images
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
DrQ: Data regularized Q
Kaldi-based Korean ASR (한국어 음성인식) open-source project
An implementation of "mixup: Beyond Empirical Risk Minimization"
A library for soundscape synthesis and augmentation