Codebase for study measuring the effect of different sequences of active/passive input for category learning.
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Updated
Jul 18, 2017 - HTML
Codebase for study measuring the effect of different sequences of active/passive input for category learning.
Continuous Active Learning (CAL) for Predictive Coding: A Demonstration with Enron Spam-Ham Classification.
Interactively create machine learning datasets using facets visualization tool and active learning or semi-supervised learning. Visualizations for machine learning datasets
Stratification of multi-label datasets
A web-based graphical user interface to assist grading jupyter notebook assignments with required active learning query strategy and machine learning model.
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)
This repository is designed to document and explain in-detailed analysis of data, from concepts like mining or transforming to predictive analytics.
A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification
Static frontend clone of Epic Games website using vanilla HTML and CSS
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