Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Nlpaug | 3,825 | 1 | 29 | 2 years ago | 37 | July 07, 2022 | 61 | mit | Jupyter Notebook | |
Data augmentation for NLP | ||||||||||
Uda | 1,782 | 4 years ago | 65 | apache-2.0 | Python | |||||
Unsupervised Data Augmentation (UDA) | ||||||||||
Eda_nlp | 1,405 | 2 years ago | 9 | Python | ||||||
Data augmentation for NLP, presented at EMNLP 2019 | ||||||||||
Nlp | 734 | 5 years ago | 7 | Python | ||||||
:memo: This repository recorded my NLP journey. | ||||||||||
Textaugment | 348 | 4 | 2 years ago | 9 | November 16, 2023 | 9 | mit | Python | ||
TextAugment: Text Augmentation Library | ||||||||||
Nlp Data Augmentation | 215 | 5 years ago | ||||||||
Data Augmentation for NLP. NLP数据增强 | ||||||||||
Deep Learning_best Practices | 97 | 7 years ago | ||||||||
Deep_utils | 95 | a year ago | 83 | December 06, 2023 | 6 | mit | Python | |||
An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners! | ||||||||||
Cutoff | 56 | 5 years ago | Python | |||||||
The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation". | ||||||||||
Kitanaqa | 47 | 4 years ago | 1 | November 16, 2020 | apache-2.0 | Python | ||||
KitanaQA: Adversarial training and data augmentation for neural question-answering models |