Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

🎓 Advice and resources for thriving and surviving graduate school

A large-scale text-to-image prompt gallery dataset based on Stable Diffusion

Break the linear presentation of Jupyter Notebooks with sticky cells!

Learning Convolutional Neural Networks with Interactive Visualization.

Literature Review Made Easy with Visualization

Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks

Compress JSON into compact base64 URI-friendly notation

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks

Visualization Tool for Mapping Out Researchers using Natural Language Processing

A data visualization curriculum of interactive notebooks.

Physical adversarial attack for fooling the Faster R-CNN object detector

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Fast Thrift Bindings for Ruby

Towards Understanding Deep Learning Representations via Interactive Experimentation

A novel text visualization technique