Pinned Repositories
beamer-csu-template
c-chat-gpt-2
cgcnn
Crystal graph convolutional neural networks for predicting material properties.
Cleavage_Energy_Manuscript
cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
dft-book
A book on modeling materials using VASP, ase and vasp
fromthetransistor
From the Transistor to the Web Browser, a rough outline for a 12 week course
hn-yu
hunan_map
hn-yu's Repositories
hn-yu/beamer-csu-template
hn-yu/c-chat-gpt-2
hn-yu/cgcnn
Crystal graph convolutional neural networks for predicting material properties.
hn-yu/Cleavage_Energy_Manuscript
hn-yu/cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
hn-yu/dft-book
A book on modeling materials using VASP, ase and vasp
hn-yu/fromthetransistor
From the Transistor to the Web Browser, a rough outline for a 12 week course
hn-yu/hn-yu
hn-yu/hunan_map
hn-yu/mp-workshop
The Materials Project Workshop Curriculum
hn-yu/RBF_neural_network_python
an implementation of a Radial Basis Function Neural Network (RBFNN) for classification problem.
hn-yu/SAWARATSUKI.Logos
ロゴを可愛く作ろう できる限りForkはしないでください
hn-yu/unordered_list
hn-yu/wherewulff
WhereWulff: A semi-autonomous workflow for systematic catalyst surface reactivity under reaction conditions