Reverse Dependencies of nlpaug

The following projects have a declared dependency on nlpaug:

• augly — A data augmentations library for audio, image, text, & video.
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.multimodal — AutoML for Image, Text, and Tabular Data
• autotransformers — a Python package for automatic training and benchmarking of Language Models.
• Bani — no summary
• BoostAug — no summary
• ChadBot4 — no summary
• ChadBot5 — no summary
• ChadBot6 — no summary
• DA4RDM-RecSys-ContentBased — A package that recommends similar data collections based on unstructured and explicitly provided meta information of files.
• data-modori — LMOps Tool for Korean
• delphai-ml-utils — A Python package to manage delphai machine learning operations.
• efemarai — A CLI and SDK for interacting with the Efemarai ML testing platform.
• faker-file — Generate files with fake data.
• fast-aug — Fast nlp augmentation library with rust backend
• few-shot-clustering — A library for efficient semi-supervised clustering with large language models.
• frame-semantic-transformer — Frame Semantic Parser based on T5 and FrameNet
• langcheck — Simple, Pythonic building blocks to evaluate LLM-based applications
• lm-polygraph — Uncertainty Estimation Toolkit for Transformer Language Models
• mldiag — A framework to diagnose ML models
• nlp4ml — Python NLP wrapper
• nlpboost — A package for automatic training of NLP (transformers) models
• nlpretext — All the goto functions you need to handle NLP use-cases, integrated in NLPretext
• py-data-juicer — A One-Stop Data Processing System for Large Language Models.
• py-data-modori — LMOps Tool for Korean
• robustnessgym — Robustness Gym is an evaluation toolkit for machine learning.
• test-data-modori — LMOps Tool for Korean
• text-sensitivity — Extension of text_explainability for sensitivity testing (robustness, fairness)
• zarnitsa — zarnitsa package for data augmentation