Alternatives and similar repositories for mse_ML_datasets

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

• CJBartel / TestStabilityML
  ☆26Updated last year
• TRI-AMDD / piro
  Software for evaluating pareto-optimal synthesis pathways
  ☆25Updated last year
• sparks-baird / mat_discover
  A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
  ☆44Updated 10 months ago
• lantunes / skipatom
  Distributed representations of atoms, inspired by the Skip-gram model
  ☆26Updated last year
• lrcfmd / ElMD
  The Element Movers Distance for chemical composition similarity
  ☆34Updated 3 months ago
• CitrineInformatics / python-citrination-client
  Reference implementation in python for Citrination api
  ☆14Updated 3 years ago
• hackingmaterials / materials-coord
  MaterialsCoord: infrastructure to benchmark crystal structure coordination algorithms
  ☆19Updated 2 years ago
• sparks-baird / xtal2png
  Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.
  ☆37Updated last year
• lan496 / crystal-symmetry-primer
  Primer of crystal symmetry and space group
  ☆16Updated 2 years ago
• M3RG-IITD / MDBENCHGNN
  ☆11Updated last year
• PV-Lab / ZoMBI
  Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbal…
  ☆17Updated last year
• rekumar / labgraph
  A graph database tool for experimental data in materials science and chemistry.
  ☆19Updated 5 months ago
• CJBartel / compmatscipy
  ☆13Updated 2 years ago
• fenning-research-group / PASCAL
  Codebase to drive the Perovskite Automated Spin Coat Assembly Line (PASCAL) in the Fenning research group.
  ☆16Updated this week
• MDIL-SNU / SPINNER
  SPINNER (Structure Prediction of Inorganic crystals using Neural Network potentials with Evolutionary and Random searches)
  ☆13Updated 11 months ago
• BlauGroup / HiPRGen
  ☆25Updated 7 months ago
• CJBartel / predict-gibbs-energies
  ☆21Updated 4 years ago
• a-ws-m / unlockNN
  A Python package for adding uncertainties to neural network models of chemical systems.
  ☆26Updated 2 years ago
• originofmatter / MatGAN
  Generative deep learning model for inorganic materials
  ☆18Updated 2 years ago
• learningmatter-mit / alchemical-mlip
  Alchemical machine learning interatomic potentials
  ☆29Updated 7 months ago
• materialsproject / foundation
  ☆17Updated 3 months ago
• mturiansky / abcv
  A python-based crystal viewer built upon the fresnel and pymatgen libraries.
  ☆16Updated last year
• stfc / janus-core
  Tools for machine learnt interatomic potentials
  ☆30Updated this week
• SimonEnsemble / porous-material-AI-gym
  open data sets for machine learning pertaining to porous materials
  ☆27Updated last year
• lrcfmd / ChemDASH
  Chemically Directed Atom Swap Hopping -- Crystal structure prediction by swapping atoms in unfavourable chemical environments
  ☆22Updated 2 years ago
• MihailBogojeski / ml-dft
  A package for density functional approximation using machine learning.
  ☆26Updated 4 years ago
• lrcfmd / ICSDClient
  A python library for accessing the ICSD API Client. Under no affiliation with Fitz-Karlsruhe, please see https://icsd.fiz-karlsruhe.de/in…
  ☆19Updated 7 months ago
• sparks-baird / CrabNet
  Predict materials properties using only the composition information!
  ☆17Updated 3 weeks ago
• AccelerationConsortium / ac-microcourses
  Microcourses hosted by the Acceleration Consortium for self-driving lab topics.
  ☆30Updated 2 weeks ago
• amirhajibabaei / AutoForce
  Sparse Gaussian Process Potentials
  ☆26Updated 3 months ago