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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
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
A curated list of resources for Image and Video Deblurring
Awesome Fine-grained Visual Classification
A curated list of resources on handling Rolling Shutter effects and Radial Distortions
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
Awesome Incremental Learning
:metal: awesome-semantic-segmentation
Python implementation of the CIEDE2000 color difference algorithm
Sass, LESS, and Stylus implementations of a massive library of color books from PANTONE, ANPA, HKS, Focoltone, DIC, TOYO, and TRUMATCH. Contains 21,652 colors!
Code release for ConvNeXt V2 model
C++那些事
This is a Chinese translation of the CUDA programming guide
CVPR2021最新论文汇总,主要包括:Transformer, NAS,模型压缩,模型评估,图像分类,检测,分割,跟踪,GAN,超分辨率,图像恢复,去雨,去雾,去模糊,去噪,重建等等
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Text recognition (optical character recognition) with deep learning methods.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
ebooks about cpp programing
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
PyTorch code for training EfficientPS for Panoptic Segmentation
A program to evaluate the quality of image segmentations.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Official implementation of the Generalized Wasserstein Dice Loss in PyTorch
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
basic inplementation of image processing algorithms, such as bilateral filter, BM3D and so on
OpenCV图像拼接实现源码重构
🏅 Collection of Kaggle Solutions and Ideas 🏅
Pytorch code for CVPR2021 paper "Learning Statistical Texture for Semantic Segmentation"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.