liangtianumich
developing scientific computational software in deriving material thermodynamics and kinetics from atomistic simulations using machine learning tool
Pinned Repositories
AI_Composer
AI Composer for Machine Learning for Hackers #2
ART_data_analyzer
caffe
Caffe: a fast open framework for deep learning.
CASMcode
First-principles statistical mechanical software for the study of multi-component crystalline solids
CASMcode_demo
CASM presentations and demonstrations
lammps
Public/backup repository of the LAMMPS MD software package
mcapi
Materials Commons API
OpenML
Open Machine Learning
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
liangtianumich's Repositories
liangtianumich/ART_data_analyzer
liangtianumich/AI_Composer
AI Composer for Machine Learning for Hackers #2
liangtianumich/caffe
Caffe: a fast open framework for deep learning.
liangtianumich/CASMcode
First-principles statistical mechanical software for the study of multi-component crystalline solids
liangtianumich/CASMcode_demo
CASM presentations and demonstrations
liangtianumich/lammps
Public/backup repository of the LAMMPS MD software package
liangtianumich/mcapi
Materials Commons API
liangtianumich/OpenML
Open Machine Learning
liangtianumich/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
liangtianumich/pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
liangtianumich/QuickHull
A python script to create an interactive animation of the quick hull algorithm
liangtianumich/scikit-learn
scikit-learn: machine learning in Python
liangtianumich/tensorflow
Computation using data flow graphs for scalable machine learning
liangtianumich/umich-eecs445-f16
Materials for EECS 445, an undergraduate Machine Learning course taught at the University of Michigan, Ann Arbor.
liangtianumich/umich-eecs545-lectures
This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor.