data-augmentation

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.

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Medical imaging processing for AI applications.

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

Collection of papers and resources for data augmentation for NLP.

Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)

Generate question/answer training pairs out of raw text.

Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

MixGen: A New Multi-Modal Data Augmentation

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

(ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation

[TACL, EMNLP 2025 Oral] Code, datasets, and checkpoints for the paper "CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation"

Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.

[ICLR 2026] MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding

Forest Fire Detection By Convolutional Neural Network