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.
TextAttack
High-Level Training, Data Augmentation, and Utilities for Pytorch
Medical imaging toolkit 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
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
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 high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Data Augmentation For Object Detection
Awesome Graph Self-Supervised Learning
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
Collection of papers and resources for data augmentation for NLP.
FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal interactions between images. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to …
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
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