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Web frontend for exploring the activation space of neural networks with TDA

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TopoAct: Visually Exploring the Shape of Activations in Deep Learning

Code for our paper titled TopoAct: Visually Exploring the Shape of Activations in Deep Learning

An interactive online demo can be found at: https://tdavislab.github.io/TopoAct/

Installation

To run a local instance preloaded with the ImageNet and CIFAR dataset, simply clone this repo and start a web server in the cloned repository's root directory (e.g. python -m http.server)


Presently, the repo contains code for the front-end. Support for custom datasets and neural networks will be coming soon.

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Web frontend for exploring the activation space of neural networks with TDA

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