Jun Li (lasclocker)

lasclocker

Geek Repo

Company:The Himalayan

Location:Shang hai

Home Page:http://www.cnblogs.com/lasclocker/

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Jun Li's repositories

WiFi-and-Sensors-Indoor-Positioning

This project introduces how to conduct indoor positioning using multi-sensors, including WiFi and mobile sensors, such as accelerometer and magnetometer.We use KNN algorithm to deal with WiFi RSS and use accelerometer and magnetometer to study stepping information of pedestrian.

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cypher-dsl

A Java DSL for the Cypher Query Language and an optional Query DSL mode

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Deep-Learning-for-Recommendation-Systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

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jOOQ

jOOQ is an innovative solution for a better integration of Java applications with popular databases like Oracle, Microsoft SQL Server, IBM DB2, or SAP Sybase. When using jOOQ, our customers benefit from a significant added value and ROI as their software developers can express database queries in a much simpler and faster way. From our experience, this leads to a 10% - 20% decrease of programming effort, which again leads to higher quality and to a lower error rate in program code, and thus in the entire application.

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memory-measurer

Automatically exported from code.google.com/p/memory-measurer

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Rabbit-HDFS-Transporter

Components for Menthal batch layer

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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expiringmap

A high performance thread-safe map that expires entries

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flink

Mirror of Apache Flink

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incubator-predictionio

PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.

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java-design-patterns

Design patterns implemented in Java

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kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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ml-class

Machine learning programming exercises

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My_Website_Me

Fork from https://themes.gohugo.io/theme/academic/

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Solutions-for-exercises-from-Java-SE-8-for-the-Really-Impatient-by-Horstmann

My solutions for the exercises from the book Java SE 8 for the Really Impatient written by Cay S. Horstmann

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SparkHBaseExample

Spark code to analyze HBase Snapshots

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TensorFlowOnSpark

TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters

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Vegas

The missing MatPlotLib for Scala + Spark

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Youtube-Recommendation-Tensorflow

code of paper `Deep Neural Networks for Youtube Recommendation`

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