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Adversarial Active Learning for Deep Networks
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Anchor optimization for RetinaNet.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
the code of paper "Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data"
A pytorch implementation of using DARTS to search better structure for Re-ID
SAR -> Synthetic Aperture Radar. This project is based on predicting the accuracy of the testing data set over the training data set using the MSTAR(Moving and Stationary Target Acquisition and Recognition) database and plotting the graph of the Results.csv file.
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Boundary box creation using a GradCAM heat-map from a pre-trained image classification model.
Bayes Net Toolbox for Matlab
Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"
A tensorflow implementation of Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation
Canny edge detector written in CUDA C++.
Projected GDP of China at pixel levels between 2014-2020
A convolutional neural network for graph classification in PyTorch
A tool for CNN multiclass classification based on hyperspectral aerial data.
This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.
pytorch implementation of complex convolutional neural network
Complex Valued CNN
CRF-RNN PyTorch version http://crfasrnn.torr.vision
cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理
Convolutional Neural Networks
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Deep Active Learning
A Convolutional Neural Network based model for Unsupervised Learning
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
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.