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cmu-440

CMU 15-440/640 Distributed Systems

codeparkshare

Python初学者（零基础学习Python、Python入门）书籍、视频、资料、社区推荐

colorquantization

color quantization via kmeans

commons

一些常用java方法的集合

contact-manager

Contact manager app with ReactJS and Flux architecture

corenlp

Stanford CoreNLP: A Java suite of Core NLP tools

coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

crawler

a crawler for yelp review and images

crawler-python

a simple crawler framework

dat8

General Assembly's Data Science course in Washington, DC

data-analysis

data analysis functions

data-compression

data-mining

Data Mining Project

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

database

Database Projects

datascienceguide.github.io

Website, notes and tutorial for

db_course_stanford_winter2013

Core set exercises on DB course by Stanford Uni

dbms-java

Database Design Project (Low Level Implementation of DBMS in JAVA)

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

design-patterns-singleton

Singleton Design Pattern Example

designpattern

self exercices

devbootcamp

porfolio repo for all Dev Bootcamp work

developer-roadmap

Roadmap to becoming a web developer in 2018

distributed-system---cmu

Distributed System in-class Projects and Labs

distributed-systems-hw1

Framework for migrating processes across machines in a distributed system

distributed-systems-hw3

Distributed MapReduce framework

doc-clustering

Documents clustering using NLTK modules for Python. Code is a result of a simple project for textmining classes (WEDT) at Warsaw University of Technology

document-clustering

a project to cluster documents.

documentclusterer

clusters documents using tf-idf weighting

documentclustering

Document clustering with stand alone Python . This is reworking of "Document clustering with Python" by http://brandonrose.org/clustering. This version will run in a Tkinter window.