Alternatives and similar repositories for aespm

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

• SergeiVKalinin / ML-ElectronMicroscopy-2023
  ☆123Updated last year
• gduscher / MLSTEM2025
  Machine Learning in STEM
  ☆27Updated 5 months ago
• SergeiVKalinin / MSE_Fall2024
  ☆64Updated 11 months ago
• SergeiVKalinin / MSE_Fall2023
  The materials for the Fall ML in Materials course at the UTK MSE
  ☆87Updated last year
• dd-debug / synthesis_planning_algorithm
  A synthesis planning algorithm designed by Jiadong Chen, Wenhao Sun, in University of Michigan.
  ☆19Updated last year
• SergeiVKalinin / MSE_Spring2024
  The materials for the Spring Mathematics in Materials course at the UTK MSE
  ☆49Updated last year
• fenning-research-group / PASCAL
  Codebase to drive the Perovskite Automated Spin Coat Assembly Line (PASCAL) in the Fenning research group.
  ☆19Updated 2 weeks ago
• pycroscopy / DTMicroscope
  Digital Twin Microscope
  ☆17Updated last week
• BIG-MAP / BattINFO
  A Battery Interface Ontology based on EMMO
  ☆46Updated 11 months ago
• njszym / ARROWS
  ☆21Updated last year
• fuzhanrahmanian / MADAP
  Python Package for electrochemical analysis
  ☆24Updated 6 months ago
• materials-data-facility / llm-resources
  ☆20Updated last year
• usnistgov / atomvision
  Deep learning framework for atomistic image data
  ☆34Updated 2 months ago
• janosh / thermo
  Data-driven risk-conscious thermoelectric materials discovery
  ☆17Updated 2 weeks ago
• sgbaird / honegumi
  Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.
  ☆61Updated this week
• materialsvirtuallab / nano281
  Data Science for Materials Science
  ☆65Updated 3 weeks ago
• sathya-chitturi / multibax-sklearn
  Design space subset estimation using Bayesian algorithm execution with sklearn GP models
  ☆23Updated 11 months ago
• CumbyLab / gridrdf
  Code for calculating grouped representation of interatomic distances (GRID) from crystal structures, and applying this in machine learnin…
  ☆12Updated 2 years ago
• materials-data-facility / publishing-battery-data
  Illustrating how to publish battery data
  ☆13Updated 5 months ago
• fsk-lab / botier
  Bayesian Optimization with multiple tiers of objectives, which can flexibly depend on model inputs and outputs
  ☆12Updated last month
• pycroscopy / atomai
  Deep and Machine Learning for Microscopy
  ☆214Updated 4 months ago
• datalab-org / datalab
  datalab is a place to store experimental data and the connections between them.
  ☆74Updated this week
• truptimohanty / Nballoy_BO
  Machine learning guided optimal composition selection for high strength Niobium alloy
  ☆11Updated 2 years ago
• emdgroup / baybe-ac24-workshop
  Accelerate 2024 Workshop on Bayesian Optimization Recipes With BayBE
  ☆10Updated last year
• CederGroupHub / alabos
  AlabOS: Managing the workflows in the Autonomous lab
  ☆46Updated 2 months ago
• ziatdinovmax / Notebooks-for-papers
  Jupyter notebooks describing data analysis procedures for my published/submitted papers
  ☆14Updated 4 years ago
• mattmcdermott / novel-materials-screening
  Screening the Materials Project for novel materials to be synthesized by the autonomous laboratory (A-Lab).
  ☆46Updated 2 years ago
• njszym / XRD-AutoAnalyzer
  ☆108Updated 2 months ago
• by256 / rdfpy
  A Python module for fast computation of 2D and 3D radial distribution functions (RDFs).
  ☆31Updated last year
• AccelerationConsortium / ac-microcourses
  Microcourses hosted by the Acceleration Consortium for self-driving lab topics.
  ☆32Updated last week