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Python implementation of paper Active Contour Without Edges
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
A medical image segmentation software supporting user interventions and user-defined funtion extention
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Awesome GAN for Medical Imaging
Utility functions for working with DICOM and BIDS neuroimaging data
Explainability of Deep Learning Models
A Multitask Deep Learning Model for Simultaneous Detection, Segmentation and Classification of Bone Tumors on Radiographs
Brain tumor segmentation using a 3D UNet CNN
Fast, flexible and fun neural networks.
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Code for experiments with convolutional classification restricted Boltzmann machines
Chan-Vese level-sets in Python
Efficient feature selection method based on Conditional Mutual Information.
https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/
Fine-tune CNN in Keras
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Anime Generation
Research Project, Honours Programme @ UvA, 2018
A technical report on convolution arithmetic in the context of deep learning
This repository contains the reference implementation for our proposed Convolutional CRFs.
The code samples of my CSDN blog (http://blog.csdn.net/zssureqh)
Convolutional Neural Networks
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Using deep learning to discover interpretable representations for mammogram classification and explanation
Keras code and weights files for popular deep learning models.
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
A Keras implementation of the DeepMIML Network for multi-instance multi-label learning
DenseNet Implementation in Keras with ImageNet Pretrained Models
Comparing images with dHash algorithm.
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.