Name: Kurtis David
Type: User
Company: Google DeepMind
Bio: Research Engineer @ Google DeepMind.
Location: San Francisco, CA
Blog: kurtisdavid.github.io
š Iām currently studying multi-modal generative models, influence functions, and mechanistic interpretability.
š¬ Ask me about various topics in Responsible AI: interpretability, fairness, and privacy.
š Adopted cat father, his name is Papaya!!
š¾ In my free time, I like to play piano, study chess, and cook food!
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
amazonprimenowswitch
anchor
Code for "High-Precision Model-Agnostic Explanations" paper
animesynopsisclassifier
Multilabel classification of synopses from all the anime listed on MyAnimeList.net
bestgirlclassifier
bim
captum
Model interpretability and understanding for PyTorch
cifar-10-mlds
CIFAR-10 Classification using Residual Networks
cnnvisualizer
Visualizer for Deep Neural Networks
collatz-tests
compass
The Jekyll theme for your personal landing page.
compsensing_dip
Compressed sensing with deep image prior algorithm
cpritcancerdruganalysis
Contains the scripts I wrote for my summer experience in the School of Biomedical Informatics, which includes the analysis I did through ML.
cs388c-notes
Will contain my notes for CS388C: Combinatorics and Graph Theory
cs395t-deeplearning
Repository containing various projects in the Graduate Deep Learning Seminar at UT.
deepvision
Repo containing various Computer Vision projects written in TensorFlow and PyTorch
diffusers
š¤ Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
ee381k-notes
Will hold lecture notes for EE381K-Convex Optimization
eulerian-magnification
A tool to discover hidden variation in video.
evolvingnets
Spring 2016 Project for FRI stream
ganchors
Code for GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models
google-10000-english
This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.
hard-prompts-made-easy
ibd
IBD: Interpretable Basis Decomposition for Visual Explanation
influence-release
interpretablecnn
kurtisdavid
kurtisdavid.github.io
legalentityextraction
Repo containing the files worked on during ExxonMobil's Code Jam July 2017.
longhorn-gaming
Longhorn Gaming website files
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ā¤ļø Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
