Alternatives and similar repositories for text-mined-synthesis_public

Users that are interested in text-mined-synthesis_public are comparing it to the libraries listed below

• CederGroupHub / LimeSoup
  LimeSoup is a package to parse HTML or XML papers from different publishers.
  ☆20Updated 4 years ago
• olivettigroup / table_extractor
  Extracts tables into json format from HTML/XML files
  ☆36Updated 5 years ago
• cjcourt / cdesnowball
  ChemDataExtractor toolkit updated to include semi-supervised quaternary relationship extraction
  ☆13Updated 4 years ago
• olivettigroup / materials-synthesis-generative-models
  Public release of data and code for materials synthesis generation
  ☆73Updated 2 years ago
• hhaoyan / awesome-textmining-materials-science
  Collection of papers on text mining for materials science
  ☆27Updated 5 years ago
• MGEdata / SuperalloyDigger
  The functions of superalloyDigger toolkit include batch downloading documents in XML and TXT format from the Elsevier database, locating …
  ☆55Updated last week
• lrcfmd / ElMD
  The Element Movers Distance for chemical composition similarity
  ☆34Updated last month
• CompRhys / roost
  Representation Learning from Stoichiometry
  ☆59Updated 2 years ago
• CederGroupHub / s4
  Solid-state synthesis science analyzer. Thermo, features, ML, and more.
  ☆24Updated 2 years ago
• PV-Lab / FTCP
  FTCP code
  ☆34Updated last year
• CederGroupHub / MaterialParser
  Utility to compile string of chemical terms into data structure with chemical formula and composition
  ☆13Updated 3 years ago
• Sangwon91 / PORMAKE
  Python library for the construction of porous materials using topology and building blocks.
  ☆66Updated 4 months ago
• Kaaiian / CBFV
  Tool to quickly create a composition-based feature vector
  ☆27Updated 3 years ago
• ulissigroup / vasp-interactive
  ☆67Updated 2 years ago
• CederGroupHub / synthesis-paragraph-classifier
  Codes and models for "Semi-supervised machine-learning classification of materials synthesis procedures". (https://doi.org/10.1038/s41524…
  ☆10Updated 3 years ago
• CJBartel / TestStabilityML
  ☆26Updated last year
• materialsintelligence / matscholar
  Code to access the Matscholar public API.
  ☆64Updated 3 years ago
• Wang-Group / Machine-learning-for-Cu-CO2RR
  This is the Python code and original data of "Machine-Learning Guided Discovery and Optimization of Additives in Preparing Cu Catalyst fo…
  ☆7Updated 2 years ago
• tobacco-mofs / tobacco_3.0
  ☆53Updated 4 years ago
• hackingmaterials / robocrystallographer
  Automatic generation of crystal structure descriptions.
  ☆116Updated this week
• CederGroupHub / SynthesisSimilarity
  ☆29Updated last year
• Tsotsalas-Group / MOF_Literature_Extraction
  ☆30Updated 3 years ago
• CambridgeMolecularEngineering / chemdataextractor2
  ChemDataExtractor Version 2.0
  ☆157Updated last month
• by256 / icsg3d
  3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)
  ☆41Updated 2 years ago
• CJBartel / predict-gibbs-energies
  ☆21Updated 4 years ago
• lbnlp / MatBERT
  A pretrained BERT model on materials science literature
  ☆60Updated 3 years ago
• CambridgeMolecularEngineering / tabledataextractor
  Extracts data from tables with complicated structures.
  ☆16Updated 2 months ago
• snurr-group / mofid
  A system for rapid identification and analysis of metal-organic frameworks
  ☆53Updated 5 months ago
• aronwalsh / MLforMaterials
  Online resource for a practical course in machine learning for materials research at Imperial College London (MATE70026)
  ☆83Updated 3 months ago
• ruihwang / MOF-CGCNN
  We developed a novel method, MOF-CGCNN, to efficiently and accurately predict the methane the volumetric uptakes at 65 bar for MOFs. Two …
  ☆18Updated 3 years ago