Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Image augmentation for machine learning experiments.

Agentic AI Infrastructure for magnifying HUMAN capabilities.

🎛 🔊 A Python library for audio.

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

Image augmentation library in Python for machine learning.

Data augmentation for NLP

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.

Official Implementation of 'Fast AutoAugment' in PyTorch.

PyTorch extensions for fast R&D prototyping and Kaggle farming

Official Pytorch implementation of CutMix regularizer

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

Image Test Time Augmentation with PyTorch!

High-performance Vision library in Python. Scale your research, not boilerplate.

Unofficial PyTorch Reimplementation of RandAugment.

automatic color-grading and augmentation

DeltaPy - Tabular Data Augmentation (by @firmai)

Efficient Learning of Augmentation Policy Schedules

Long-Term Evolution Project of Reinforcement Learning

TextAugment: Text Augmentation Library

various cv tools, such as label tools, data augmentation, label conversion, etc.

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"

abyss - augmentation of Hexrays decompiler output

Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'

Event datasets and transforms.

Benchmarking library for RAG

Library for 3D augmentations