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Hi, I'm Kurtis :-)

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šŸ§™šŸ½ā€ā™‚ļø About Me

šŸ““ Iā€™m currently studying multi-modal generative models, influence functions, and mechanistic interpretability.

šŸ’¬ Ask me about various topics in Responsible AI: interpretability, fairness, and privacy.

šŸˆ Adopted cat father, his name is Papaya!!

šŸ‘¾ In my free time, I like to play piano, study chess, and cook food!

šŸš€šŸ’» Technologies & Tools

NumPy PyTorch TensorFlow scikit-learn Pandas

Python R C++ JavaScript PHP

LaTeX Markdown Jupyter Notebook Visual Studio Code

āš” GitHub Stats

Strreak Stats

Kurtis David's Projects

metaorthogonalization icon metaorthogonalization

Code for Debiasing Convolutional Neural Networks via Meta Orthogonalization (NeuRIPS 2020 AFCI Workshop).

netdissect icon netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

photoguard icon photoguard

PhotoGuard: Defending Against Diffusion-based Image Manipulation

pytext icon pytext

A natural language modeling framework based on PyTorch

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

resy-booking-bot icon resy-booking-bot

šŸ”« Helps to snipe hard to get reservations at restaurants that use resy

swe_blog icon swe_blog

Build a Jekyll blog in minutes, without touching the command line.

torchray icon torchray

Understanding Deep Networks via Extremal Perturbations and Smooth Masks

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