Code, tutorials, and other resources produced by the lab are available here.
Controversial Stimuli
This is a PyTorch tutorial on optimizing controversial stimuli for ImageNet classifiers, which demonstrates the method introduced in Golan, Raju, and Kriegeskorte (2020).

Ecoset
Ecoset is a collection of over 1.5 million images from 565 basic-level categories selected to better capture the distribution of objects relevant to humans, and provides an alternative to ILSVRC 2012 that is openly available for research purposes. It was introduced in Mehrer et al (2021) and developed in collaboration with the laboratory of Tim Kietzmann (corresponding author).
Python Representational Similarity Analysis (rsatoolbox) toolbox
The rsatoolbox was developed by the labs of Nikolaus Kriegeskorte, Jörn Diedrichsen, Marieke Mur and Ian Charest. The toolbox replaces the 2013 matlab version the toolbox of rsatoolbox previously at ilogue/rsatoolbox and reflects many of the new methodological developments.

TorchLens
A new open-source Python package for extracting and characterizing hidden-layer activations in PyTorch models. This toolbox was developed by postdoctoral fellow JohnMark Taylor and detailed in his publication in Scientific Reports.
