gaozhitong,Zhitong Gao,github

Hi there 👋

My name is Zhitong Gao. I have a deep passion for unraveling the mysteries of intelligence.

🌱 Currently, I’m delving into why machine learning models fail and how to address these failures effectively.
😄 I’m also fascinated by psychology, especially in understanding my own behaviors.
🔭 I enjoy doing research, painting, reading, swimming, and photography.
👯 I enjoy connecting with and learning from people.

Feel free to reach out!

Zhitong Gao's Projects

atta

Code for "ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation"

carsss

Official re-implementation of the Calibrated Adversarial Refinement model described in the paper "Calibrated Adversarial Refinement for Stochastic Semantic Segmentation"

cs188-ai-pacman

Implementation of various AI techniques to solve pacman game. It is part of CS188 AI course from UCB.

mose-auseg

The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)

openslide-python

Python bindings to OpenSlide

phiseg-code

Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

sp_guided_noisy_label_seg

This repository contains a PyTorch implementation of the MICCAI 2021 paper "Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation".

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