#Materials

Showing 12 of 12 repositories tagged #materials, ranked by stars

BohdanOrlov
BohdanOrlov
iOS-Developer-Roadmap

Roadmap to becoming an iOS developer in 2018.

Score
100
โ˜… 6.4k โ‘‚ 1.3k โ€”
Swift
girafe-ai
girafe-ai
ml-course

Open Machine Learning course

Score
100
โ˜… 3.5k โ‘‚ 1.3k +4/day
Jupyter Notebook
materialsproject
materialsproject
pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

Score
50
โ˜… 1.9k โ‘‚ 958 +2/day
Python
odpi
odpi
OpenDS4All

OpenDS4All project, hosted by LF AI & Data

Score
67
โ˜… 686 โ‘‚ 160 โ€”
HTML
tilde-lab
tilde-lab
awesome-materials-informatics

Curated list of known efforts in materials informatics, i.e. in modern materials science

Score
100
โ˜… 519 โ‘‚ 110 โ€”
atomind-ai
atomind-ai
mlip-arena

๐ŸŒŸ [NeurIPS '25 Spotlight] Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond basic error metrics https://openreview.net/forum?id=SAT0KPA5UO

Score
0
โ˜… 104 โ‘‚ 9 โ€”
Jupyter Notebook
ziatdinovmax
ziatdinovmax
SciLink

LLM-powered agents for scientific research automation

Score
0
โ˜… 86 โ‘‚ 16 +1/day
Python
SMTG-Bham
SMTG-Bham
surfaxe

Dealing with slabs for first principles calculations of surfaces

Score
0
โ˜… 70 โ‘‚ 14 โ€”
Jupyter Notebook
SCM-NV
SCM-NV
qmflows

This library tackles the construction and efficient execution of computational chemistry workflows

Score
0
โ˜… 54 โ‘‚ 10 โ€”
Python
leriomaggio
leriomaggio
python-data-science

Lecture notes and materials for Python Data Science course

Score
33
โ˜… 47 โ‘‚ 34 โ€”
Jupyter Notebook
DimitarPetrov
DimitarPetrov
study-snap

๐Ÿ““๐Ÿ“ฒ Flutter app for managing study materials in form of photos.

Score
0
โ˜… 36 โ‘‚ 12 โ€”
Dart
jellespijker
jellespijker
pymech

Continuation for this project is stopped. Focus is now on the MechEng modules ( https://github.com/mecheng ) A Python module for mechanical engineers. Project which is mostly based on the books of Roloff / Matek (Machineonderdelen), Hibbeler (Statics, Mechanics and Dynamics), Kals (Industriele productie) and R. Mott (Applied Fluid Mechanics). Al calculations are unit/dimension save. Using IPython / Jupyter a report can be generated in LaTeX, html or PDF Currently implemented: * Force method calculation for a simple beam * Unit based calculations * Axle calculation * Material properties

Score
0
โ˜… 10 โ‘‚ 3 โ€”
Python
Related Topics
#machine-learning#python#materials-science#science#data-science#materials-informatics#jupyter-notebooks#chemistry#architecture#interview#ios#objective-c

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