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.

一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

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

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

Light-weight Single Person Pose Estimator

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

Next-generation Albumentations: dual-licensed for open-source and commercial use