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4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger
ImageNet Classification with Deep Convolutional Neural Networks
算法图解的算法代码示例,用Python和Java实现,后期会加入其它语言
Bug-tracking for Jeff's algorithms book, notes, etc.
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
cvpr2019 papers,极市团队整理
Dual Attention Network for Scene Segmentation (CVPR2019)
PyTorch DataLoaders implemented with DALI for boosting image preprocessing
Keras code and weights files for popular deep learning models.
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
A collection of various deep learning architectures, models, and tips
Code for the CVPR Paper "Deep Layer Aggregation"
This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
Very Simple Implementation of many GAN models with PyTorch.
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Pytorch implementation of GCN architecture for semantic segmentation
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
High-resolution representation learning (HRNets) for Semantic Segmentation
Implementation of Segnet, FCN, UNet and other models in Keras.
Keras implementation of Non-local Neural Networks
koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras
L-Seg: An End-to-End Unified Framework for Multi-lesion Segmentation of Fundus Images
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
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.