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Single/multi view image(s) to voxel reconstruction using a recurrent neural network
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Pytorch implementation of the paper "Adversarial Learning for Semi-supervised Semantic Segmentation," Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, and Ming-Hsuan Yang
Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"
This is re-implementation of "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"
Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18.
Deep Compression on AlexNet
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR2018)
Fast R-CNN
Faster R-CNN
Graphics API Debugger
The gradually global pruning example
Keras implementation of Deeplab v3+ with pretrained weights
Keras package for region-based convolutional neural networks (RCNNs)
ShuffleNet Implementation using Keras Functional Framework 2.0
The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge
KiTS19——2019 Kidney Tumor Segmentation Challenge
K Means Clustering with Python
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
机器学习实战(Python3)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"
Models and examples built with TensorFlow
PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time The implementation is based on [SIGGRAPH Aisa'20](https://vcai.mpi-inf.mpg.de/projects/PhysCap/).
Image Feature Extraction and Classification Using Python
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.