xingchenzhao Goto Github PK

2024ng_resume

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

cs1632_spring2020

CS1632 Software Quality Assurance, Spring 2020

cs1660-project

cs401

Intermediate Programming using Java(Spring 2018)

cs445

cs445-Data Structures(Fall 2018)

cs447

cs447 (Fall 2018)

cs449-intro-to-systems-programming-

These are projects for CS449 (Intro to Systems Programming)

da_with_caption

dannce

Code for Domain Adversarial Neural Networks for Domain Generalization (PyTorch)

deep_learning_notebooks

These are my Jupyter notebooks for the course of "Dive into Deep Learning".

devexchange

A Full Stack Project developed with (MongoDB, Express, React, NodeJS)

first-contributions

🚀✨ Help beginners to contribute to open source projects

generating-human-skeletons-with-mutual-actions-wgan-pytorch

Generating Human Skeletons with Mutual Actions

improving--domain-generalization-using-a-mixture-of-multiple-latent-domains

DG_research

java

All Algorithms implemented in Java

kaggle-cifar-10-object-recognition-in-images

Implementations of different CNN models to recognize CIFAR-10 Image by MXNet

mathflow

A Mac App that automates the workflow from image equations directly to Wolfram & LaTeX codes.

mdl-by-metalearning

This is the repository for the paper "Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning" to appear in ISBI 2021

mixdann

This is the code for the paper "Robust White Matter Hyperintensity Segmentation on Unseen Domain"

mmd_loss.pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

moviesearch_reactjs

moviesearchjs

my_cv

ntu_ml2017_hung-yi-lee_hw

NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业

pac-bayes-in-medical-imaging

The repo for the pre-print work "PAC Bayesian Performance Guarantees for Deep(Stochastic) Networks in Medical Imaging."

pittsocial

Database Management Systems - Team Project - PittSocial

qfa

Group Project for STAT 1261(PITT), Quantitative-Financial-Analysis

r2l

[ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

stego

Unsupervised Semantic Segmentation by Distilling Feature Correspondences