Augmentation Open Source Projects

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.

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

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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

Medical imaging toolkit for deep learning

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

The #1 open-source Android GNSS/GPS test program

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

Unsupervised Data Augmentation (UDA)

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

High-Level Training, Data Augmentation, and Utilities for Pytorch

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

Curated list of python software and packages related to scientific research in audio

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

Data augmentation for NLP, presented at EMNLP 2019

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

Official Implementation of 'Fast AutoAugment' in PyTorch.

PyTorch extensions for fast R&D prototyping and Kaggle farming

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Official Pytorch implementation of CutMix regularizer

A simple method to perform semi-supervised learning with limited data.

A framework for data augmentation for 2D and 3D image classification and segmentation

In defence of metric learning for speaker recognition

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

Data Augmentation For Object Detection

:memo: This repository recorded my NLP journey.

Image Test Time Augmentation with PyTorch!

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

침착한 생성모델 학습기

A prize winning solution for DFDC challenge

AutoML tools chain

實作基於CNN的台鐵訂票驗證碼辨識以及透過模仿及資料增強的訓練集產生器 (Simple captcha solver based on CNN and a training set generator by imitating the style of captcha and data augmentation)

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

This is a list of awesome methods about data augmentation.

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

A library for speech data augmentation in time-domain

automatic color-grading and image data augmentation

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation（Unfinished）

Unofficial PyTorch Reimplementation of RandAugment.

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率

Copy-paste augmentation for segmentation and detection tasks

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

DeltaPy - Tabular Data Augmentation (by @firmai)

Augmentations usage examples for albumentations library

Efficient Learning of Augmentation Policy Schedules

🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Python package to corrupt arbitrary images.

Long-Term Evolution Project of Reinforcement Learning

Data augmentation tool for images

TextAugment: Text Augmentation Library