/ Machine Learning

Lucid library adapted for PyTorch

Lucid library adapted for PyTorch

lucent

PyTorch + Lucid = Lucent

The wonderful Lucid library adapted for the wonderful PyTorch!

Lucent is not affiliated with Lucid or OpenAI's Clarity team, although we would love to be! Credit is due to the original Lucid authors, we merely adapted the code for PyTorch and we take the blame for all issues and bugs found here.

Usage

Lucent is still in pre-alpha phase and can be installed locally with the following command:

pip install torch-lucent

In the spirit of Lucid, get up and running with Lucent immediately, thanks to Google's Colab!

You can also clone this repository and run the notebooks locally with Jupyter.

Quickstart

import torch

from lucent.optvis import render
from lucent.modelzoo import inceptionv1

device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
model = inceptionv1(pretrained=True)
model.to(device).eval()

render.render_vis(model, "mixed4a:476")

Tutorials

Other Notebooks

Here, we have tried to recreate some of the Lucid notebooks!

Recommended Readings

Related Talks

GitHub

Comments