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        "description": "# diagnnose · [![Build Status](https://travis-ci.com/i-machine-think/diagnnose.svg?branch=master)](https://travis-ci.com/i-machine-think/diagnnose)\n\nThis library contains a set of modules that can be used to analyse recurrent neural networks.\nIn particular, it contains functionality to:\n- Extracting activations from different types of (language) models\n- Running diagnostic classifiers [1] on extracted activations\n- Doing intervention studies [2] with language models\n- Analysing word embeddings\n- Doing dimensionality reduction and plotting state space trajectories of trained models\n\n# Quickstart\n\nOur library is not (yet) officially registered with pip. You can use the library by cloning it and do an editable install with pip:\n\n```\ngit clone git@github.com:i-machine-think/diagnnose.git $custom_path\npip3 install -e $custom_path\n```\n\nWe will shortly update this README with explanations for the different scripts provided in the library.\n\n\n## Requirements\n\nThis library runs with Pytorch 1.0. We refer to the [PyTorch website](http://pytorch.org/) to install the right version for your environment.\nThe preferred version of python is >=3.7.\n\nTo install additional requirements, run:\n\n`pip install -r requirements.txt`\n\n\n",
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