WeiHuang05

awesome-ML_academics_roadmaps

For postdoctoral researchers, PhD students and master by research students, it is a place of free for you to find a roadmap on how to happily survive PhD and the job market! Contributions are welcomed!

Awesome-Feature-Learning-in-Deep-Learning-Thoery

Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.

Awesome_Large_Foundation_Model_Theory

Welcome to the 'In Context Learning Theory' Reading Group

GPLVM_CARS

code for the paper 'Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems'

Graph-Neural-Tangent-Kernel-for-Node-Classification

Mean-field-theory-for-deep-dropout-networks

Neural-Tangent-Kernel-with-Orthogonal-Initialization

code for the paper 'On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization'

Pelta

Python-Program

Weihuang05.github.io

homepage

WeiHuang05/Awesome-Feature-Learning-in-Deep-Learning-Thoery

Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.

WeiHuang05/Awesome_Large_Foundation_Model_Theory

Welcome to the 'In Context Learning Theory' Reading Group

WeiHuang05/Mean-field-theory-for-deep-dropout-networks

WeiHuang05/Graph-Neural-Tangent-Kernel-for-Node-Classification

WeiHuang05/Python-Program

WeiHuang05/Neural-Tangent-Kernel-with-Orthogonal-Initialization

code for the paper 'On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization'

WeiHuang05/Weihuang05.github.io

homepage

WeiHuang05/GPLVM_CARS

code for the paper 'Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems'

WeiHuang05/Pelta