amireskanlou Goto Github PK
Name: Amir Eskanlou
Type: User
Company: Stanford University
Bio: Postdoc
Twitter: amireskanlou
Location: Stanford, CA
Name: Amir Eskanlou
Type: User
Company: Stanford University
Bio: Postdoc
Twitter: amireskanlou
Location: Stanford, CA
Things that you should (and should not) do in your Materials Informatics research.
Belief-state planning for POMDPs using learned approximations
BURAI, a GUI system of Quantum ESPRESSO
First-principles statistical mechanical software for the study of multi-component crystalline solids
A MATLAB-GUI based open-source tool for solving gaseous combustion problems
Jupyter Notebook Crash Coarse for crystallography
Decision making under uncertainty using the POMDPs.jl ecosystem taught by Robert Moss
Density functional theory workflows for finite temperature thermodynamics based on atomate workflows.
Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59
A crystal plasticity FEM code that runs on the GPU
Introduction to Machine Learning
Scientific Computing with Python
Learn the language basics in this 10-part course.
MSE5540/6640 Materials Informatics course at the University of Utah
Two guest lectures for MatSE580 at PSU to cover basics of (1) materials data manipulation, (2) storage, and (3) running ML methods on them.
A Python library for ab-initio molecular dynamics simulations
PyMongo - the Official MongoDB Python driver
Multiphysics Object Oriented Simulation Environment
ParFit automates the process of fitting molecular-mechanics parameters to data obtained by ab-initio calculations.
Repository of POMDP problems in ecology, biosecurity and epidemiology
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
Python Materials Discovery Framework
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.
A Python library for electronic structure pre/post-processing
Mirror of the Quantum ESPRESSO repository. Please do not post Issues or pull requests here. Use gitlab.com/QEF/q-e instead.
Quick Introduction to Machine Learning
VASPKIT_manual markdown source!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.