Henry's repositories
GRP-17-18-Group6
This is for UNNC's GRP work of Group-6.
HenryJaQiu.github.io
My webpage.
nonlinear-string-simulation
Nonlinear spring simulation for soft tissues. The tissue data is from 'Modeling and Prediction of Soft Tissue Directional Stiffness using In-Vitro Force-Displacement Data'.
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
awesome-time-series-database
:clock7: A curated list of awesome time series databases, benchmarks and papers
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
brain-data-with-age
brain data with age in Hongik University
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
DiDL-Practice
Tensorflow code practice for DiDL
Diff-UNet
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using diffusion for 3D medical image segmentation)
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意
EndoscopyDepthEstimation-Pytorch
Pytorch implementation of paper named "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)
free-programming-books
:books: Freely available programming books
fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
HenryJaQiu
Config files for my GitHub profile.
machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
MedSAM
Segment Anything in Medical Images
ml-interviews-book
https://huyenchip.com/ml-interviews-book/
monodepth2
[ICCV 2019] Monocular depth estimation from a single image
notes-and-coding-practice
Personal notes & coding practice library
PaddleX
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
Python-100-Days
Python - 100天从新手到大师
Scheme-Notes
Learning notes of scheme
shadowsocks-windows
If you want to keep a secret, you must also hide it from yourself.
tensor-networks-mnist
Testing the performance of different tensor network architectures on MNIST classification tasks.
Transfer-Learning-for-COVID-19-cases-and-deaths-forecast-using-LSTM-network
The data and codes realted to published work: