Alternatives and similar repositories for BBO-Rietveld

Users that are interested in BBO-Rietveld are comparing it to the libraries listed below

• matlantis / atomistic-simulation-tutorial
  Atomistic simulation hands on tutorial on Matlantis
  ☆50Updated this week
• giprayogo / SHRY
  A tool for generating unique ordered structures corresponding to a given disordered structure.
  ☆17Updated last year
• matlantis / matlantis-contrib
  ☆44Updated this week
• tsudalab / combo3
  COMBO for Python 3
  ☆34Updated 2 years ago
• pyscal / pyscal
  Python library written in C++ for calculation of local atomic structural environment
  ☆64Updated 11 months ago
• harharkh / sb_desc
  Calculation of the spherical Bessel descriptors for machine learning potentials.
  ☆9Updated 5 years ago
• originofmatter / MatGAN
  Generative deep learning model for inorganic materials
  ☆18Updated 2 years ago
• lab-cosmo / SA-GPR
  ☆21Updated 6 years ago
• maise-guide / maise
  MAISE Module for Ab Initio Structure Evolution (MAISE)
  ☆34Updated 3 weeks ago
• jkitchin / dft-book-espresso
  New version of dft-book for Quantum Espresso
  ☆45Updated 5 years ago
• ftherrien / p2ptrans
  An algorithm to match crystal structures atom-to-atom
  ☆52Updated 2 years ago
• xtalopt / randSpg
  Random symmetric initialization of crystals
  ☆22Updated 7 years ago
• issp-center-dev / abICS
  ab-Initio Configuration Sampling tool kit (abICS)
  ☆17Updated 2 months ago
• amirhajibabaei / AutoForce
  Sparse Gaussian Process Potentials
  ☆27Updated 4 months ago
• ajjackson / ase-tutorial-symmetry
  Tutorial notebook for symmetry features in ASE
  ☆24Updated 5 years ago
• Tomoki-YAMASHITA / CrySPY
  CrySPY is a crystal structure prediction tool written in Python.
  ☆135Updated 3 weeks ago
• argonne-lcf / active-learning-md
  Active learning workflow developed as a part of the upcoming article "Machine Learning Inter-Atomic Potentials Generation Driven by Activ…
  ☆27Updated 3 years ago
• janosh / thermo
  Data-driven risk-conscious thermoelectric materials discovery
  ☆16Updated last month
• MDIL-SNU / SPINNER
  SPINNER (Structure Prediction of Inorganic crystals using Neural Network potentials with Evolutionary and Random searches)
  ☆14Updated last year
• materialsvirtuallab / snap
  Repository for spectral neighbor analysis potential (SNAP) model development.
  ☆36Updated 5 years ago
• kumagai-group / vise
  VASP Integrated Supporting Environment
  ☆23Updated last month
• MDIL-SNU / SIMPLE-NN
  SIMPLE-NN(SNU Interatomic Machine-learning PotentiaL packagE – version Neural Network)
  ☆49Updated 3 years ago
• RaymondZhurm / WyCryst
  Wyckoff Inorganic Crystal Generator Framework
  ☆22Updated 5 months ago
• angeloziletti / ai4materials
  Deep learning for crystal-structure recognition and analysis of atomic structures
  ☆43Updated last year
• masayoshi-ogura / HDNNP
  high dimensional neural network potential
  ☆22Updated 2 years ago
• chuanxun / StructurePrototypeAnalysisPackage
  Structure Prototype Analysis Package can analyze symmetry and compare similarity of a large number of atomic structures.
  ☆24Updated 2 years ago
• aiidateam / aiida-wannier90-workflows
  A collection of advanced automated workflows to compute Wannier functions using AiiDA and the Wannier90 code
  ☆20Updated 2 weeks ago
• CompRhys / aviary
  The Wren sits on its Roost in the Aviary.
  ☆59Updated this week
• materialsvirtuallab / nano106
  Course materials for NANO 106 - Crystallography of Materials
  ☆35Updated 3 years ago
• ml-electron-project / NNfunctional
  ☆38Updated 6 years ago