UstbCmsPjy's repositories
FeatureSelectionGA
Feature Selection using Genetic Algorithm (DEAP Framework)
Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
AMPE
Adaptive Mesh Phase-field Evolution
cellpylib
A library for working with Cellular Automata, for Python.
deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
XenonPy
XenonPy is a Python Software for Materials Informatics
ZeroCostDL4Mic
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
dragonfly
An open source python library for scalable Bayesian optimisation.
ESPEI
Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59
Feature-Selection-for-Machine-Learning
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
Hybrid-Cuckoo-Search
Hybrid CS for ultrafast global optimization in materials science and other diverse fields. And, Hybrid CS SCRAPs is a Multinary Solid-Solution Alloy Structure Design Tool
KMCLib
A kinetic Monte Carlo Python/C++ library.
mmsp
The Mesoscale Microstructure Simulation Project
moose
Multiphysics Object Oriented Simulation Environment
MPh
Pythonic scripting interface for Comsol Multiphysics
mupif
MuPIF - A multiphysics integration framework written in Pyton. It allows combining existing software tools to build a customized multiphysics simulation chains
OOF2
Object Oriented for Finite Elements 2D version.
opencalphad
Open Calphad, thermodynamic calculation code
phasefield-precipitate-aging
Phase field model for precipitate aging in ternary analogues to Ni-based superalloys
prisms-toolbox
A collection of scripts to complement and enhance the core PRISMS codes
pycalphad
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
pymapdl
Pythonic interface to ANSYS result, full, and archive files
pymc
THIS IS THE **OLD** PYMC PROJECT. PLEASE USE PYMC3 INSTEAD:
pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
pymks
Materials Knowledge System in Python
raven
RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.