A system for quickly generating training data with weak supervision
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Updated
Oct 2, 2020 - Python
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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-Level Training, Data Augmentation, and Utilities for Pytorch
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
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
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。
Some of the available datasets are downloaded in an uncompressed format. For example, Colin27 version 2008 takes 1014 MB. Some storage could be saved if the images were compressed after downloading.
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
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
A treasure chest for image classification powered by PaddlePaddle
Implementation of the mixup training method
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
DeltaPy - Tabular Data Augmentation (by @firmai)
Data augmentation tool for images
Streaming over lightweight data transformations
DrQ: Data regularized Q
An implementation of "mixup: Beyond Empirical Risk Minimization"
Kaldi-based Korean ASR (한국어 음성인식) open-source project
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
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Output when I specify an attack without a model: