Mansurbek Abdullaev's repositories
AI_with_PythonPytorch_Uz
AI(ML,DL) projects for tutorial
DataScience_mohirdev
Mohirdev.uz
beginners-pytorch-deep-learning
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
ACS_Catalysis_Articles
This repo illustrates the scraping the special issues from ACS_Catalysis Journals and filter them out according to the user's interests. The filtered data will be sent to the user's email.
Aromaticity_of_molecules
Here, aromaticity of molecules have been classified by using Graphical Convolutional Network(GCN)
catgym
Surface segregation using Deep Reinforcement Learning
CatLearn
A machine learning environment for atomic-scale modeling in surface science and catalysis.
colabcode
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
jarvis
JARVIS-Tools: an open-source software package for data-driven atomistic materials design
megnet
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
ml-catalysis
Machine Learning for Catalysis
ocp
https://opencatalystproject.org/
Open-Catalyst-Dataset
Workflow for creating and analyzing the Open Catalyst Dataset
Practicum_Datasets
Datasets for Data Science and AI Practicum
pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
pysisso
Python interface to the SISSO (Sure Independence Screening and Sparsifying Operator) method.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
SISSOkit
Modules for cross validation, evaluation and plot of SISSO
transportsClassification
Transport Classification Model
vasp
New ASE compliant Python interface to VASP