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Sears

Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"

Install / Use

/learn @marcotcr/Sears
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

sears

Code for Semantically Equivalent Adversarial Rules for Debugging NLP Models

Installation

Run the following:

git clone git@github.com:marcotcr/sears.git
cd sears
virtualenv -p python3 ENV
source ENV/bin/activate
pip install editdistance keras numpy jupyter tensorflow-gpu==1.3.0 torchtext==0.1.1 spacy==1.9.0
pip install http://download.pytorch.org/whl/cu80/torch-0.2.0.post3-cp35-cp35m-manylinux1_x86_64.whl
python -m ipykernel install --user --name=sears
python -m spacy download en
git clone https://github.com/marcotcr/OpenNMT-py
cd OpenNMT-py/
python setup.py install
cd ..

Download and unpack the translation models into the translation_models folder.

Run jupyter notebook, change kernel to sears, and run the notebook :)

View on GitHub
GitHub Stars87
CategoryDevelopment
Updated9mo ago
Forks16

Languages

Python

Security Score

87/100

Audited on Jun 21, 2025

No findings