A collection of infrastructure and tools for research in neural network interpretability.
Lucid is a collection of infrastructure and tools for research in neural network interpretability.
We're not currently supporting tensorflow 2!
If you'd like to use lucid in colab which defaults to tensorflow 2, add this magic to a cell before you import tensorflow:
Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support.
Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Colaboratory. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud.
You can run the notebooks on your local machine, too. Clone the repository and find them in the
notebookssubfolder. You will need to run a local instance of the Jupyter notebook environment to execute them.
Notebooks corresponding to the Feature Visualization article
Notebooks corresponding to the Building Blocks of Interpretability article
Notebooks corresponding to the Differentiable Image Parameterizations article
Notebooks corresponding to the Activation Atlas article
#proj-lucidon the Distill slack (join link).
We'd love to see more people doing research in this space!
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.
tensorflow, but does not explicitly depend on it in
setup.py. Due to the way tensorflow is packaged and some deficiencies in how pip handles dependencies, specifying either the GPU or the non-GPU version of tensorflow will conflict with the version of tensorflow your already may have installed.
If you don't want to add your own dependency on tensorflow, you can specify which tensorflow version you want lucid to install by selecting from
In actual practice, we recommend you use your already installed version of tensorflow.