Alternatives and similar repositories for aespm:

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

• dd-debug / synthesis_planning_algorithm
  A synthesis planning algorithm designed by Jiadong Chen, Wenhao Sun, in University of Michigan.
  ☆16Updated 7 months ago
• fenning-research-group / PASCAL
  Codebase to drive the Perovskite Automated Spin Coat Assembly Line (PASCAL) in the Fenning research group.
  ☆15Updated 2 weeks ago
• SergeiVKalinin / AutomatedExperiment_Summer2023
  The summer training course on the Bayesian Optimization
  ☆27Updated last year
• pycroscopy / DTMicroscope
  Digital Twin Microscope
  ☆14Updated 4 months ago
• fuzhanrahmanian / MADAP
  Python Package for electrochemical analysis
  ☆21Updated 6 months ago
• CederGroupHub / alabos
  AlabOS: Managing the workflows in the Autonomous lab
  ☆41Updated this week
• SergeiVKalinin / MSE_Fall2024
  ☆59Updated 4 months ago
• AccelerationConsortium / ac-microcourses
  Microcourses hosted by the Acceleration Consortium for self-driving lab topics.
  ☆30Updated 3 weeks ago
• ziatdinovmax / AugmentedGaussianProcess
  Gaussian process augmented with a probabilistic model of expected system's behavior
  ☆15Updated 3 years ago
• njszym / ARROWS
  ☆18Updated last year
• SergeiVKalinin / MSE_Spring2024
  The materials for the Spring Mathematics in Materials course at the UTK MSE
  ☆49Updated 11 months ago
• saimani5 / VAE-tutorials
  ☆40Updated last year
• SergeiVKalinin / ML-ElectronMicroscopy-2023
  ☆121Updated last year
• materials-data-facility / llm-resources
  ☆20Updated 11 months ago
• SergeiVKalinin / MSE_Fall2023
  The materials for the Fall ML in Materials course at the UTK MSE
  ☆85Updated last year
• CumbyLab / gridrdf
  Code for calculating grouped representation of interatomic distances (GRID) from crystal structures, and applying this in machine learnin…
  ☆12Updated last year
• rekumar / labgraph
  A graph database tool for experimental data in materials science and chemistry.
  ☆16Updated 3 months ago
• janosh / thermo
  Data-driven risk-conscious thermoelectric materials discovery
  ☆16Updated 2 weeks ago
• ziatdinovmax / Notebooks-for-papers
  Jupyter notebooks describing data analysis procedures for my published/submitted papers
  ☆13Updated 4 years ago
• truptimohanty / Nballoy_BO
  Machine learning guided optimal composition selection for high strength Niobium alloy
  ☆11Updated last year
• usnistgov / aims2024_workshop
  JARVIS-AIMS workshop
  ☆12Updated 8 months ago
• FWin22 / drprobe_interface
  Python interface for the Dr. Probe command line tools
  ☆12Updated 3 years ago
• pnnl / pychip_gui
  pyCHIP is a tool for segmentation and feature classification in transmission electron microscopy (TEM) images based on a small support se…
  ☆19Updated 3 years ago
• CJBartel / predict-gibbs-energies
  ☆21Updated 4 years ago
• sgbaird / honegumi
  Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.
  ☆49Updated 3 weeks ago
• paolodeangelis / SEI_builder
  This app is an ASE-base workflow used to reproduce a rational initial SEI morphology at the atomic scale by stochastically placing the cr…
  ☆11Updated 3 weeks 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
• materialsvirtuallab / nano281
  Data Science for Materials Science
  ☆63Updated this week
• usnistgov / atomvision
  Deep learning framework for atomistic image data
  ☆35Updated 3 months ago
• ML-PXRD / Crystalyze
  ☆19Updated 5 months ago