David Adamo (@davidadamojr)
github

davidadamojr

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  • Stars
    star
    791
  • Global Rank 38,072 (Top 2 %)
  • Followers 87
  • Following 49
  • Registered over 12 years ago
  • Most used languages
    Python
         33.3 %
    JavaScript
         25.0 %
    Java
         25.0 %
    Perl
         8.3 %
    PHP
         8.3 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 10,646
  • Country Ranking
    Python
         1,870
    Perl
         3,528
    PHP
         7,007

Top repositories

1

TextRank

Python implementation of TextRank algorithm for automatic keyword extraction and summarization using Levenshtein distance as relation between text units. This project is based on the paper "TextRank: Bringing Order into Text" by Rada Mihalcea and Paul Tarau. https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf
Python
752
star
2

cliptext_chrome

The Cliptext chrome extension creates a context menu item that converts selected text in your browser into an image that can be automatically shared on Twitter to avoid the 140 character limit.
JavaScript
13
star
3

cliptext

The Cliptext web app converts text into an image that can be automatically shared on Twitter to avoid the 140 character limit.
PHP
9
star
4

diary_of_programming_puzzles

A collection of my solutions to some programming puzzles and common software engineering coding interview questions.
Python
4
star
5

alchemy-news-api

An Alchemy News API library for Node.js
JavaScript
4
star
6

microhaskell

This is an implementation of a fictional programming language called "MicroHaskell"; a tiny subset of the Haskell programming language implemented in Java.
Java
3
star
7

nextmeal

JavaScript
1
star
8

sensor_spy

Java
1
star
9

microblog

Python
1
star
10

data_science_from_scratch

Python
1
star
11

kit

KeepInTouch (kit) is an Android app that lets you set daily, weekly, biweekly and monthly reminders to call people. The app serves as a good project for learning about ContentProviders and Android Alarms/AlarmManager.
Java
1
star
12

TinySearch

This is an (intelligent) search engine implementation in Perl. It searches a particular domain (http://www.unt.edu) for relevant pages and serves to demonstrate key concepts in information retrieval and web search. It consists of a crawler, indexer and graphical user interface. A demo can be found at http://students.cse.unt.edu/~dta0022/searchengine/ A PDF document explaining how the search engine works can be found at http://students.cse.unt.edu/~dta0022/searchengine/report.pdf
Perl
1
star