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PhD student at Columbia University
Machine Learning and Explainable AI
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This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
Pytorch implementation of VAEs for heterogeneous likelihoods.
IRT ideal point models in R using Stan and JAGS
augmentedstartups / SiamMask
Forked from foolwood/SiamMask[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
thisiscam / math-with-slack
Forked from fsavje/math-with-slackRendered math (MathJax) with Slack's desktop client