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

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

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

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

Efficient Learning of Augmentation Policy Schedules

Tools for medical image processing in deep learning.

Deep Convolutional Neural Networks for Musical Source Separation

Light-weight Single Person Pose Estimator

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

Implementation of the mixup training method

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

DeltaPy - Tabular Data Augmentation (by @firmai)

Data augmentation tool for images

A treasure chest for image classification powered by PaddlePaddle

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

🔥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