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achartengine

Charting library for Android applications. Automatically exported from code.google.com/p/achartengine

android

Common Utils library is developed to reduce efforts to achieve common features of the android apps. While developing the apps, we realized that we’re coding for many common features in all the apps. For e.g. check the network’s availability, using shared preferences, parsing, etc. And like us, many other android developers might be doing the same. So it needs to be reduced for all to save the development time with ease. This is how an idea popped in our mind, and we decided to develop an SDK which can reduce developers’ time and efforts.

android_usingcar_example

基于高德地图Android API快速搭建用车解决方案的示例

audio-descriptors

Music Information Retrieval library for Processing

audiofeextr

音频特征提取程序，MFCC,HFCC,MFCC_WALSH，Philips

customsearchview

customer search view

fast-lsh

hashing-baseline-for-image-retrieval

:octocat:Various hashing methods for image retrieval and serves as the baselines

hkwsdemo

海康威视Demo

html5_android_template

A starting point for creating Android apps using HTML5 in Eclipse.

java-lsh

A Java implementation of Locality Sensitive Hashing (LSH)

jvamp

A Java Native Interface (JNI) library that permits Java applications to load and use Vamp audio analysis plugins.

kws

基于HTK工具箱的音频检索系统

likelike

An implementation of locality sensitive hashing with Hadoop

lintcode

My solution of LintcodeOJ

locality-sensitive-hashing

An implementation of locality sensitive hashing algorithm.

locality-sensitive-hashing-example

Simple example of Locality Sensitive Hashing

lshdb

LSHDB is a parallel and distributed data engine, which relies on Locality-Sensitive Hashing and noSQL systems, for performing record linkage (and privacy-preserving record linkage) and similarity search tasks.

marsyas

Marsyas - Music Analysis, Retrieval and Synthesis for Audio Signals

mir_eval

Evaluation functions for music/audio information retrieval/signal processing algorithms.

mybatis-3

MyBatis SQL mapper framework for Java

nearpy

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

optimal-lsh

This package provides an efficient implementation of locality-sensitve hashing (LSH)

ranaly

Ranaly是一个简单易用的数据统计工具，只需要在项目中加入几行代码就可以生成可视化的图表。

redis-windows

Vagrant redis configuration and the binary releases of MS Open Tech redis port of windows

searchtips

android 搜索提示语 弹幕 流式布局，热门标签

simhash

实现了简单simHash算法

simhash-1

An efficient algorithm for text similarity computation

simhash-java

A simple implementation of simhash algorithm by java.

speech-mfcc

基于MFCC语音特征提取和识别