Image augmentation extension for the image-dataset-converter library.

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

Boosting Document Intelligence

A python library for instagram filters

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

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

ICASSP 2024. A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification.

Classifies wild cats images

Ready-to-use tool for image augmentation

Image augmentation stream processors for the wai.annotations conversion library.

Image augmentation for machine learning experiments.

Deep Learning algorithm to detect WSSV in shrimps

Utilizing CNNs for image classification of 120 dog breeds in the Stanford Dogs Dataset.

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！！！

This repository is the summation of the previous works of our group in microscopy image analysis.

<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소

Welcome to ProHealth360, your gateway to advanced healthcare solutions. Our Flask-based web application harnesses the power of state-of-the-art machine learning models to provide accurate predictions for a wide range of diseases, including COVID-19, Breast Cancer, Alzheimer's, Brain Tumor, Diabetes, Heart Disease, and Kidney Disease.

Official code for paper "HCR-Net: A deep learning based script independent handwritten character recognition network"

Kaggle competition: classifying Cassava leaf diseases from crowdsourced photographs. Finetuned ResNet-152 model implemented in PyTorch, with image augmentations performed using Albumentations library.