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.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

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

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Image augmentation for object detection, segmentation and classification

automatic color-grading and augmentation

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Artificial Intelligence Learning Notes.

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

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

A fast image augmentation library in Julia for machine learning.

A PyTorch-based tool to generate clouds for satellite images.

A simpler way of reading and augmenting image segmentation data into TensorFlow

A fast tool to do image augmentation on GPU(especially elastic_deform), can be helpful to research on Medical Image.

A python library for instagram filters

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Custom image data generator for TF Keras that supports the modern augmentation module albumentations

<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소

Python 3 library for the augmentation & normalization of H&E images

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

Automatic License Plate Recognition for Traffic Violation Management made with YOLOv4, Darknet, Tensorflow Lite

Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation

Pytorch implements yolov3.Good performance, easy to use, fast speed.

HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.

Image augmentation with simultaneous transformation of keypoints, bounding boxes, and segmentation mask