Zoewang2557's Stars
gwcbi/GWDBB
A data repository for Department of Biostatistics and Bioinformatics.
OHDSI/Aphrodite
[in development]
natoromano/deep-patient
Deep patient implementation
clinicalml/anchorExplorer
MareesAT/GWA_tutorial
A comprehensive tutorial about GWAS and PRS
jon-tow/cs224n
Solutions to CS224n: Natural Language Processing with Deep Learning assignments.
jtleek/datasharing
The Leek group guide to data sharing
delip/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
mli/paper-reading
深度学习经典、新论文逐段精读
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
rasbt/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
rasbt/stat453-deep-learning-ss21
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
iamtodor/data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
XD-DENG/SQL-exercise
Practice with "Real" SQL Problems
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
rasbt/stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
rasbt/stat451-machine-learning-fs20
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
rasbt/stat453-deep-learning-ss20
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
keon/algorithms
Minimal examples of data structures and algorithms in Python