vishankkumar Goto Github PK
Name: Vishank Kumar
Type: User
Location: Brussels
Vishank Kumar's Projects
abiconfig
Configuration files to configure/compile Abinit
abinit
The official github mirror of the Abinit repository. We welcome bug fixes and improvements. Note that most of the active developments are hosted on our https://gitlab.abinit.org/ server. Before embarking on making significant changes, please contact the Abinit group.
abipy
Open-source library for analyzing the results produced by ABINIT
deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
documents
Containing documents like CV, list of publications etc.
freefem-parser-vim
FreeFEM parser for VIM
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
kratos
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
lammps
Public development project of the LAMMPS MD software package
matminer
Data mining for materials science
ml4chem
ML4Chem: Machine Learning for Chemistry and Materials
mlearn
Benchmark Suite for Machine Learning Interatomic Potentials for Materials
moose
Multiphysics Object Oriented Simulation Environment
moose_piglet
Moose application to test phase field modules
mote3d_toolbox
Toolbox for particulate microstructure modelling
my_first_binder
A test repository to try binder for hosting jupyter notebook
pika
Phase-field snow microstructure
pybamm
Fast and flexible physics-based battery models in Python
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.
pymatgen-diffusion
This add-on to pymatgen provides tools for analyzing diffusion in materials.
quip
libAtoms/QUIP molecular dynamics framework: http://www.libatoms.org
schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
scikit-learn
scikit-learn: machine learning in Python
scipy-2018-sklearn
Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
shocksolution_examples
Example code from shocksolution.com
test_public_repo
Test public repository to understand basics of github
twentysecondscurriculumvitae-latex
Write Beautiful Curriculum Vitae in LaTex, that ensures twenty seconds reading.
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