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Shrikar Archak sarchak

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@abahgat
abahgat / gae-memcache-decorator.py
Last active January 22, 2021 00:43
A Python decorator to cache method results using memcache on Google AppEngine
import functools
import logging
from google.appengine.api import memcache
def cached(time=1200):
"""
Decorator that caches the result of a method for the specified time in seconds.
Use it as:
@bwhite
bwhite / rank_metrics.py
Created September 15, 2012 03:23
Ranking Metrics
"""Information Retrieval metrics
Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np
@mblondel
mblondel / letor_metrics.py
Last active April 24, 2024 19:43
Learning to rank metrics.
# (C) Mathieu Blondel, November 2013
# License: BSD 3 clause
import numpy as np
def ranking_precision_score(y_true, y_score, k=10):
"""Precision at rank k
Parameters
@debasishg
debasishg / gist:8172796
Last active July 5, 2024 11:53
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
@CloudCray
CloudCray / colorize_zipcodes.py
Last active August 13, 2018 03:26
Download all US Zip Code Tabulation Area shapefiles (ZCTA) with Python 3
"""
Author: Cloud Cray
Date: 2014-01-04
This is an example script to read Zip Code data from a US shapefile,
then colorize all zip codes, then save the result to a png file.
"""
import shapefile
import matplotlib.patches as patches
@vterron
vterron / memcached_decorator.py
Created February 22, 2015 17:54
A Python multiple-server memcached decorator
#! /usr/bin/env python
# Author: Victor Terron (c) 2015
# Email: `echo vt2rron1iaa32s | tr 132 @.e`
# License: GNU GPLv3
""" A memcached function decorator. """
from __future__ import division
from __future__ import print_function
@bitgord
bitgord / Escrow-Smart-Contract
Created December 5, 2016 04:13
Example of an escrow smart contract
// package.json
{
"dependencies": {
"web3": "0.17.0-alpha",
"solc": "^0.4.4"
}
}
//Create file Ecrow.sol and create 3 variables: a buyer, a seller, and an arbiter
contract Escrow {
@theriley106
theriley106 / housingScrape.py
Created February 8, 2018 03:05
Scraping Valid Addresses from all US ZipCodes
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
import requests
import bs4
import zipcode
import threading
import re
import json
import time
@BarclayII
BarclayII / movielens.py
Last active December 9, 2023 05:47
PinSage example implementation
import pandas as pd
import dgl
import os
import torch
class MovieLens(object):
def __init__(self, directory):
'''
directory: path to movielens directory which should have the three
files:
@dhh
dhh / Gemfile
Created June 24, 2020 22:23
HEY's Gemfile
ruby '2.7.1'
gem 'rails', github: 'rails/rails'
gem 'tzinfo-data', '>= 1.2016.7' # Don't rely on OSX/Linux timezone data
# Action Text
gem 'actiontext', github: 'basecamp/actiontext', ref: 'okra'
gem 'okra', github: 'basecamp/okra'
# Drivers