harsh9t Goto Github PK

270acrawler

A small and simple dataset crawler on 270a.info for Quality Assessment

ajgudb

explore connected data with a python graphdb

anytojson

Fetches CSV, JSON data from REST APIs, Flat Files etc and converts them to JSON. Extendible to support additional data formats

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-semantic-web

A curated list of various semantic web and linked data resources.

beamertheme-bjeldbak

A simple, minimalistic Beamer theme to keep eyes on the content

bib_center

Repository to backup all relevant .bib files for my work

bib_central

Mother of bibliography for my thesis

bibtext2excel

Automatically exported from code.google.com/p/bibtext2excel

bigdata-ecosystem

BigData Ecosystem Dataset

bsbm1mgraph

BSBM dataset 1M triple graphml generation python script + file

codeplay-letor

My experiments with Learing-to-rank approaches for information retrieval

crawlscripts

repository of shell scripts for crawling freebase, wikidata and dbpedia

cyberroamclient

python script for cyberroam client

dockerised-dbpedia-virtuoso-endpoint-setup-guide

The step by step guide to setup your personal copy of DBpedia endpoint

estadistica

Scripts que automatizan el proceso de calculo estadísticos. Útil para estudiantes de Ingeniería de Sistemas en la Santiago Mariño.

financial-twitter-tracker

fire2014-doc-similarity

The fire task

fresh

Keep your dotfiles fresh.

gfmed_openqa_integration

google-scraper

Directly lets you download the PDFs of the books searched for.

google-shell

A simple command line interface to Google's search index.

gremlinator-experiments

The base repository of Gremlinator experiments

hands-on-with-movielens

Material for the hands-on session for traversing MovieLens data in Gremlin

hits_letor

Academic Project - Implementation of Hubs and Authorities & Learning to Rank with Microsoft Research Data using SVM

kaggle-seeclickfix-ensemble

Prize winning solution to the SeeClickFix contest hosted on Kaggle, developed by teammates Bryan Gregory and Miroslaw Horbal. The purpose of the contest was to train a model (as scored by RMSLE) using supervised learning that will accurately predict the views, votes, and comments that an issue posted to the www.seeclickfix.com website will receive. My teammate and I used this ensemble code base to combine our top ranked individual models to create a prize-winning solution, defeating >500 other teams and winning a prize of $1,000.

kaggle-yelp-business-rating-prediction

Code for Kaggle Contest "RecSys2013: Yelp Business Rating Prediction" -- Predicting Business Ratings on Yelp.com Using Machine Learning. My final submission scored an RMSE of 1.2307 which earned a rank of #7 out of ~250 teams. This a collection of code that is meant to be run from python console, it is not a stand-alone program

latex-tables-figures-and-fancy-stuff

Latex Tables and Figures templates local dump.

latex_templates

learningtorank