Workflow for validating deep learning results, integrating Google and AWS services.
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Updated
Jan 4, 2024 - Jupyter Notebook
Workflow for validating deep learning results, integrating Google and AWS services.
The project explores the process of human annotation, calculating inter-annotator agreement metrics and biases from 2000 Yelp Reviews annotated by 3 independent annotators on Amazon Mechanical Turk.
Toy projects that show how to interact with Amazon Mechanical Turk
object-oriented API for Amazon Mechanical Turk (WORK IN PROGRESS)
This is a program that allows access to MTurk with Perl
Crowd-sourcing system for word-sense disambiguation talking to Mechanical Turk
Personalized Text Classification dataset with transient labels inspired by Myca productivity tool
An easily-extensible php client for the Amazon Mechanical Turk API
Tools browser extension for Amazon.com's website mturk.com (Mechanical Turk)
A JavaScript tool for collecting implicit behavioral data on Amazon Mechanical Turk, etc
Experiments website for collected data from Amazon Mechanical Turk for Psychology study in emotion recognition
scripts for administering Mechanical Turk tasks
Amazon Mechanical Turk blacklisting monitor that blocks workers exceeding a fixed number of submitted HITs.
A tool driven approach to Mechanical Turk user experiments
A docker-compose configuration file to run psiturk with MySQL support and a NGINX reverse proxy.
Automate data labeling with Mechanical Turk.
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