daobinhuang Goto Github PK
Type: User
Type: User
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Code for https://arxiv.org/abs/1611.10080
Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
A curated list of awesome deep learning applications in the field of computational biology
Brain Tumor Segmentation
读研不迷茫。。。。
Weakly Supervised Learning for Findings Detection in Medical Images
gensim-word2vec+svm文本情感分析
Visualising predictions of deep neural networks
Repo for the Deep Learning Nanodegree Foundations program.
A Python implementation for training a neural network for predicting drug-protein interactions using Keras and Tensorflow
Deep Learning Papers on Medical Image Analysis
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
A collaboratively written review paper on deep learning, genomics, and precision medicine
DeeplabV2 segmentation in Keras
A list of deep learning implementations in biology
Dilated Convolution for Semantic Image Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map as an additional input (Figure 1). The net receives image and ROI as a binary map with pixels corresponding to ROI marked 1, and produce pixel-wise annotation of the ROI region of the image. The method is based on using region selective features This code was tested on for semantic segmentation task of materials in transparent vessels where the vessel area of the image was set as the ROI.
https://2017.icml.cc/Conferences/2017/Schedule
This is a data parser to obtain images and descriptions from JSRT database in a uniform format for deep learning applications.
Keras community contributions
Keras implementation of Deep Convolutional Generative Adversarial Networks
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.