| import { createContext } from 'react' | |
| export default createContext(null) |
| """ Web application for serving agent """ | |
| import time | |
| import json | |
| import bottle | |
| import numpy as np | |
| import battlesnake.agent | |
| def map_state(player, state, width, height): |
| <?xml version="1.0" encoding="UTF-8"?> | |
| <TrainingCenterDatabase xmlns:ns5="http://www.garmin.com/xmlschemas/ActivityGoals/v1" xmlns:ns3="http://www.garmin.com/xmlschemas/ActivityExtension/v2" xmlns:ns2="http://www.garmin.com/xmlschemas/UserProfile/v2" xmlns="http://www.garmin.com/xmlschemas/TrainingCenterDatabase/v2" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ns4="http://www.garmin.com/xmlschemas/ProfileExtension/v1" xsi:schemaLocation="http://www.garmin.com/xmlschemas/TrainingCenterDatabase/v2 http://www.garmin.com/xmlschemas/TrainingCenterDatabasev2.xsd"> | |
| <Activities> | |
| <Activity Sport="Biking"> | |
| <Id>2017-10-15T03:00:00.000Z</Id> | |
| <Lap StartTime="2017-10-15T03:04:19.000Z"> | |
| <TotalTimeSeconds>8106.0</TotalTimeSeconds> | |
| <DistanceMeters>60.0000</DistanceMeters> | |
| <Calories>820</Calories> | |
| <AverageHeartRateBpm> |
| #!/usr/bin/env python3 | |
| """ Convert MEG data to the 2vs2 CSV input file format """ | |
| import csv | |
| import tables | |
| file = tables.open_file('../data/meg_data_averaged.mat') | |
| def get_word(file, word): |
| /* Update records to clear UTF8 characters | |
| * May 29th, 2017 | |
| */ | |
| const r = require('./server/r') | |
| function run(cb) { | |
| r.table('Student') | |
| .replace(student => { |
| https://github.com/karpathy/char-rnn/raw/master/data/tinyshakespeare/input.txt |
| # Backprop on the Seeds Dataset | |
| from random import seed | |
| from random import randrange | |
| from random import random | |
| from csv import reader | |
| from math import exp | |
| # Load a CSV file | |
| def load_csv(filename): | |
| dataset = list() |
| ANGRY has 9 trials | |
| ARTIST has 5 trials | |
| BE has 34 trials | |
| CAKE has 4 trials | |
| CAMPING has 2 trials | |
| CAR has 5 trials | |
| CATS has 2 trials | |
| CINEMA has 8 trials | |
| COMPUTER has 2 trials | |
| DANCE has 4 trials |
This export contains a csv file that can be used for testing that the subject is
paying attention to the words. The file is available in questions.csv.
The word vectors operate on a scale of 1 to 5, but this export only returns questions that all or the vast majority of mechanical turk users agreed upon as being one of the extremes (1 for always no and 5 for always yes). The yes/no answers are split approximately 50% for yes and 50% for no so the subject cannot learn a response pattern.
| 0 IS IT AN ANIMAL? | |
| 1 IS IT A BODY PART? | |
| 2 IS IT A BUILDING? | |
| 3 IS IT A BUILDING PART? | |
| 4 IS IT CLOTHING? | |
| 5 IS IT FURNITURE? | |
| 6 IS IT AN INSECT? | |
| 7 IS IT A KITCHEN ITEM? | |
| 8 IS IT MANMADE? | |
| 9 IS IT A TOOL? |
