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Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem
code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
A simple beanstalkd client library for Python
[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).
The manuscript has been accepted in TMI.
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
[CVPR 2019] CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation
An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images
Semi-supervised semantic segmentation needs strong, varied perturbations
Dual Attention Network for Scene Segmentation (CVPR2019)
(CVPR2021) DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
多彩校园app python版sdk
Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
End-to-End Object Detection with Transformers
A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.
Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation.
A memory-efficient implementation of DenseNets
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
ENet - A Neural Net Architecture for real time Semantic Segmentation
A PyTorch implementation of ET-Net (aka ETNet)
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.