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Lucid is a collection of infrastructure and tools for research in neuralnetwork interpretability.
In particular, it provides state of the art implementations of featurevisualization techniques,and flexible abstractions that make it very easy to explore new researchdirections.
Notebooks corresponding to the Building Blocks of Interpretability article
You may use this software under the Apache 2.0 License. See LICENSE.
This project is research code. It is not an official Google product.
tox to run the test suite on all supported environments.
To run tests only for a specific module, pass a folder to
To run tests only in a specific environment, pass the environment's identifiervia the
tox -e py27.
After adding dependencies to
setup.py, run tox with the
--recreate flag toupdate the environments' dependencies.
git clone tensorflow-lucid_-_2018-03-08_19-55-48.bundle