There are 3 repositories under mturk topic.
🐵 Greasemonkey userscripts
A browser app that helps workers earn money more efficiently on Amazon's Mechanical Turk work platform.
Easily create a web UI on Amazon Mechanical Turk to crowd-source instance segmentation data
PandaCrazy Chrome Extension for Amazon Mturk
Command-line interface (CLI) and Python library to evaluate text-to-speech (TTS) mean opinion score (MOS) studies done on Amazon Mechanical Turk (MTurk). The calculation of the confidence intervals is done in the same manner as described in (Ribeiro et al., 2011).
Desktop Electron app for managing Amazon Mturk HITs, Assignments, and Workers
Python Application for Researchers to Manage Worker Access to HITs on Amazon Mechanical Turk
scripts for administering Mechanical Turk tasks
A JavaScript tool for collecting implicit behavioral data on Amazon Mechanical Turk, etc
Tools browser extension for Amazon.com's website mturk.com (Mechanical Turk)
System to run video classification experiments with Amazon's Mechanical Turk using Python Flask.
An interactive console to handle operations with Amazon Mechanical Turk (AMT).
Contains implemented Machine learning and deep learning code and description.
A template behavioral experiment ready to be deployed locally or on MTurk. Runs psiTurk, nginx, MySQL, & Adminer in networked docker containers. Includes slides from the accompanying tutorial.
Grounded Language Acquisition using crowd sourced data
Bad IPs: Analyzing Fraudulent Responses on M-Turk Surveys
Amazon Mechanical Turk Template for Linked Survey with Consent Form
A collection of MTurk templates designed to make complex tasks easier for human annotators.
Versione 1.0 sostituita dalla nuova.
This tool permits the creation of multiple Tasks of multiple HITs (images or videos) in Amazon Mechanical Turk.
A framework for data extraction over print documents that allows to construct data extraction rules over an inferred document structure.
This code is used for Morgan State University research. Dr. Rahman facilitated this research. This research is designed to help doctors better detect diseases in humans using ML.
AWS Sagemaker Ground Truth Scripts for Human Evaluation of Dialog Response Generation Models | Supports Amazon Mechanical Turk (MTurk) / Private in-lab study backend
object-oriented API for Amazon Mechanical Turk (WORK IN PROGRESS)