Pinned Repositories
sheriftawfikabbas's Repositories
sheriftawfikabbas/crystalfeatures
sheriftawfikabbas/pyphotonics
sheriftawfikabbas/oganesson
sheriftawfikabbas/learn_ml
sheriftawfikabbas/learn_python
sheriftawfikabbas/machinelearningphonons_tutorial
sheriftawfikabbas/hybrid_vdW_heterostructures
sheriftawfikabbas/diffusivity
sheriftawfikabbas/goodcrap
sheriftawfikabbas/plasmoctopus
Modified Octopus source files for quantum plasmonics calculationss
sheriftawfikabbas/134kmachinelearning
Python machine learning code for the 134k molecules dataset
sheriftawfikabbas/3oloum_corpus
sheriftawfikabbas/aktar
sheriftawfikabbas/blockchain-js
sheriftawfikabbas/blockchain-py
sheriftawfikabbas/blossomai
sheriftawfikabbas/cmh
Code and data related to the current magnetization hypothesis
sheriftawfikabbas/diep
sheriftawfikabbas/dscribe
DScribe is a python package for creating machine learning descriptors for atomistic systems.
sheriftawfikabbas/holemasscpmd
sheriftawfikabbas/joltml
sheriftawfikabbas/jTSP
sheriftawfikabbas/learn_dft
sheriftawfikabbas/materialsalchemist
sheriftawfikabbas/Matformer
Official code for Periodic Graph Transformers for Crystal Material Property Prediction (NeurIPS 2022)
sheriftawfikabbas/py-vasp
sheriftawfikabbas/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.
sheriftawfikabbas/sheriftawfikabbas.github.io
sheriftawfikabbas/superset
Apache Superset is a Data Visualization and Data Exploration Platform
sheriftawfikabbas/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.