harsh9t/google-shell
A simple command line interface to Google's search index.
Discovered public repositories for harsh9t in the GitHub catalog.
A simple command line interface to Google's search index.
Simple spreadsheet is a Ruby Gem reader for common spreadsheet formats: Excel (.xls, .xlsx), Open-office (.ods) and CSV (standard, excel, tab separated)
A curated list of awesome big data frameworks, ressources and other awesomeness.
BigData Ecosystem Dataset
Group 5 participation in WISS 2015, France
Automatically exported from code.google.com/p/bibtext2excel
repository of shell scripts for crawling freebase, wikidata and dbpedia
RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
python script for cyberroam client
Public repository.
This tool generates a bootstrap webpage from an semantic (RDF) ontology
A small and simple dataset crawler on 270a.info for Quality Assessment
Scripts que automatizan el proceso de calculo estadísticos. Útil para estudiantes de Ingeniería de Sistemas en la Santiago Mariño.
Make a website like a Unix Terminal. Incorporate your own commands.
Hands on Lab with Python and iPython
Fetches CSV, JSON data from REST APIs, Flat Files etc and converts them to JSON. Extendible to support additional data formats
Music player which shows lyrics onscreen.
Directly lets you download the PDFs of the books searched for.
Tiny file search utility.
Python script to login to reliance netconnect
11643 HW5
A Java implementation of ListRank-MF as mentioned in List-wise Learning to Rank with Matrix Factorization for Collaborative Filtering
Feature selection algorithms for learning to rank
Public repository.
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
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.
Academic Project - Implementation of Hubs and Authorities & Learning to Rank with Microsoft Research Data using SVM
Search Parameter Tuning on Microsoft Learning to Rank 4.0 dataset using Linear Regression
Learning to Rank with Machine Learning
My experiments with Learing-to-rank approaches for information retrieval
Configures the machine to mirror a selection of source repositories
We're writing new documentation for Xapian; this will disappear & be merged in later
Mirror of the Xapian repository. You're welcome to open pull requests on github (they'll just get merged indirectly).
A mind-reading website.
This project aims to build a system which given a biomedical question and a set of relevant documents will extract all the relevant snippets from these documents.
participation
The fire task
Public repository.