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

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 high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.

ML data processing (For Computer Vision)

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

Classification of Sober and Intoxicated Faces using Image Analysis

This project aims to develop an effective leaf image classification system using machine learning algorithms. It includes extensive experimentation and evaluation of different models and hyperparameter tuning to identify the best-performing model.

Boosting Document Intelligence

A python library for instagram filters

Create unique stickers based on textual prompts.

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！！！