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Implementation of active contour loss function
An Adaptive Image Inpainting Method Based on Euler's Elastica with Adaptive Parameters Estimation and the Discrete Gradient Method
Total generalised variation denoising for arterial spin labelling MRI data
Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"
Keras implementation of paper by the same name
Deeply supervised density regression for automatic cell counting in microscopy images
Chan-Vese level-sets in Python
( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
The python code of Chan-Vese model and RSF model for image segmentation
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Image restoration with neural networks but without learning.
an implementation of Deep Image Prior using tensorflow
An implementation of https://dmitryulyanov.github.io/deep_image_prior for tensorflow.
Unrolling of Deep Graph Total Variation for Image Denoising
Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"
download from http://groups.inf.ed.ac.uk/calvin/FastVideoSegmentation/, Anestis Papazoglou, Vittorio Ferrari
Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
Code for the CVPR 2018 paper "Semantic Video Segmentation by Gated Recurrent Flow Propagation"
Interactive Object Segmentation with Inside-Outside Guidance
Keras implementation of Non-local Neural Networks
This repository contains the pytorch implementation of our LiviaNET architecture
mnist classification with tensorflow ( nn, cnn, lstm, nlstm, bi-lstm, cnn-rnn)
Models and examples built with TensorFlow
Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper
TensorFlow implementation of the Non-local Neural Network block in its various forms.
PDE-Net: Learning PDEs from Data
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.