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soulnd's repositories

ip2region

准确率99.9%的ip地址定位库，0.0x毫秒级查询，数据库文件大小只有1.5M，提供了java,php,c,python,nodejs,golang,c#查询绑定和Binary,B树,内存三种查询算法，妈妈再也不用担心我的ip地址定位！

Language:CApache-2.0100

awesome-python3-webapp

小白的Python入门教程实战篇：网站+iOS App源码→ http://t.cn/R2PDyWN 赞助→ http://t.cn/R5bhVpf

GPL-3.0000

axios

Promise based HTTP client for the browser and node.js

Language:JavaScriptMIT000

CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

Language:PythonApache-2.0000

elasticsearch-analysis-ik

The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary.

Language:JavaApache-2.0000

faceswap

Deepfakes Software For All

Language:PythonGPL-3.0000

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Language:Python000

fundus-vessel-segmentation-tbme

In this work, we present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained, fully connected conditional random field model. Standard segmentation priors such as a Potts model or total variation usually fail when dealing with thin and elongated structures. We overcome this difficulty by using a conditional random field model with more expressive potentials, taking advantage of recent results enabling inference of fully connected models almost in real-time. Parameters of the method are learned automatically using a structured output support vector machine, a supervised technique widely used for structured prediction in a number of machine learning applications. Our method, trained with state of the art features, is evaluated both quantitatively and qualitatively on four publicly available data sets: DRIVE, STARE, CHASEDB1 and HRF. Additionally, a quantitative comparison with respect to other strategies is included. The experimental results show that this approach outperforms other techniques when evaluated in terms of sensitivity, F1-score, G-mean and Matthews correlation coefficient. Additionally, it was observed that the fully connected model is able to better distinguish the desired structures than the local neighborhood based approach. Results suggest that this method is suitable for the task of segmenting elongated structures, a feature that can be exploited to contribute with other medical and biological applications.

Language:Matlab000