Alternatives and similar repositories for SISSO:

Users that are interested in SISSO are comparing it to the libraries listed below

• Matgenix / pysisso
  Python interface to the SISSO (Sure Independence Screening and Sparsifying Operator) method.
  ☆54Updated 11 months ago
• hackingmaterials / automatminer
  An automatic engine for predicting materials properties.
  ☆152Updated last year
• CederGroupHub / chgnet
  Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov
  ☆291Updated this week
• deepmodeling / dpdata
  A Python package for manipulating atomistic data of software in computational science
  ☆207Updated this week
• materialsvirtuallab / matgenb
  Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
  ☆240Updated 8 months ago
• deepmaterials / dlmatreview
  Repository for links to software packages and databases used in deep-learning applications for materials science
  ☆137Updated 6 months ago
• materialsvirtuallab / matgl
  Graph deep learning library for materials
  ☆320Updated this week
• SMTG-Bham / doped
  doped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defec…
  ☆168Updated 2 weeks ago
• usnistgov / alignn
  Atomistic Line Graph Neural Network https://scholar.google.com/citations?user=9Q-tNnwAAAAJ&hl=en https://www.youtube.com/watch?v=WYePj…
  ☆260Updated last month
• materialsvirtuallab / maml
  Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
  ☆402Updated last week
• MaginnGroup / PyLAT
  ☆108Updated 2 years ago
• janosh / pymatviz
  A toolkit for visualizations in materials informatics.
  ☆197Updated this week
• MaterSim / PyXtal_FF
  Machine Learning Interatomic Potential Predictions
  ☆89Updated last year
• BingqingCheng / ASAP
  ASAP is a package that can quickly analyze and visualize datasets of crystal or molecular structures.
  ☆145Updated 8 months ago
• Jiaxuan-Ma / MLMD
  MLMD: a programming-free AI platform to predict and design materials
  ☆61Updated last month
• materialsvirtuallab / pymatgen-analysis-diffusion
  This add-on to pymatgen provides tools for analyzing diffusion in materials.
  ☆109Updated this week
• stanfordbshan / CompMatBook
  Computational Materials Science(Book)
  ☆85Updated 3 months ago
• henniggroup / VASPsol
  Solvation model for the plane wave DFT code VASP.
  ☆148Updated 8 months ago
• tamaswells / VASP_script
  Useful scripts for VASP
  ☆185Updated 3 years ago
• materialsproject / workshop
  The Materials Project Workshop Curriculum
  ☆114Updated 2 years ago
• FitSNAP / FitSNAP
  Software for generating machine-learning interatomic potentials for LAMMPS
  ☆165Updated 2 months ago
• CompPhysVienna / n2p2
  n2p2 - A Neural Network Potential Package
  ☆234Updated last week
• materialsproject / matbench
  Matbench: Benchmarks for materials science property prediction
  ☆147Updated 7 months ago
• deepmodeling / dpgen
  The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field
  ☆329Updated this week
• SUNCAT-Center / catmap
  Catalyst Micro-kinetic Analysis Package for automated creation of micro-kinetic models used in catalyst screening
  ☆101Updated 5 months ago
• QijingZheng / VaspBandUnfolding
  A collection of python scripts that deal with VASP outpts, e.g. WAVECAR, POTCAR etc.
  ☆224Updated 5 months ago
• mir-group / flare
  An open-source Python package for creating fast and accurate interatomic potentials.
  ☆312Updated this week
• simongravelle / lammps-input-files
  LAMMPS inputs and data files
  ☆253Updated 5 months ago
• chuanqixu / SISSOkit
  Modules for cross validation, evaluation and plot of SISSO
  ☆15Updated 5 years ago
• hackingmaterials / robocrystallographer
  Automatic generation of crystal structure descriptions.
  ☆112Updated 2 months ago