ZlqKevin

imgaug

Image augmentation for machine learning experiments.

albumentations

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

Augmentor

Image augmentation library in Python for machine learning.

AugLy

A data augmentations library for audio, image, text, and video.

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

retina-unet

Retina blood vessel segmentation with a convolutional neural network

convmixer

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

awesome-data-augmentation

This is a list of awesome methods about data augmentation.

deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

V-GAN-tensorflow

A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"

LadderNet

image-reconstructor-patches

Reconstruct Image from Patches with a Variable Stride