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This is a reimplementation of the paper Similarity Search for Efficient Active Learning and Search of Rare Concepts

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jakobkruse1/seals

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Reimplementation of SEALS

This is a reimplementation of the paper Similarity Search for Efficient Active Learning and Search of Rare Concepts The goal is to recreate Figure 1b in the paper using MaxEnt-SEALS.

Setup

I recommend setting up a new conda environment. Install the package requirements:

conda install -c pytorch faiss-gpu pip
pip install -r requirements.txt

Execution

python main.py

To run the manual labeling dashboard, run

python main_manual_labeling.py

You will see a link to a dashboard in the terminal which can be used for manual labeling.

Extras

Install the pre-commit hooks for linting:

pre-commit install

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This is a reimplementation of the paper Similarity Search for Efficient Active Learning and Search of Rare Concepts

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