lucid
A collection of infrastructure and tools for research in neural network interpretability and visualization.
What is lucid?
Lucid is a research toolkit for neural network interpretability that helps researchers visualize and understand what deep learning models learn. It provides infrastructure and tools for feature visualization, activation analysis, and exploring neural network representations through interactive notebooks. The project enables researchers to generate images that maximize neuron activations and create visualizations of activation spaces.
Machine learning researchers and practitioners focused on neural network interpretability, particularly those working with computer vision models who want to understand model behavior.
Lucid offers a comprehensive collection of research-grade tools specifically designed for neural network visualization, with extensive pre-built notebooks and support for multiple models. Its tight integration with Distill.pub research makes it a valuable resource for cutting-edge interpretability techniques.
Overview
A collection of infrastructure and tools for research in neural network interpretability.
Use Cases
Best For
- Visualizing what individual neurons in neural networks respond to
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