ssthurai

ssthurai's Stars

• google/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python29.3k3305.4k2.7k

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13k3283142.6k

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML10.1k2453610.8k

• wsvincent/awesome-django

  A curated list of awesome things related to Django

  Language:HTML9k238431.3k

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.2k618526.3k

• lmoroney/dlaicourse

  Notebooks for learning deep learning

  Language:Jupyter Notebook5.7k241705.4k

• ankitsultana/researcher

  A jekyll based resume template

  Language:HTML6311112587

• karpathy/karpathy.github.io

  my blog

  Language:CSS6256912222

• tequilahub/tequila

  A High-Level Abstraction Framework for Quantum Algorithms

  Language:Python3561630100

• mir-group/allegro

  Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials

  Language:Python304203346

• mzjb/DeepH-pack

  Deep neural networks for density functional theory Hamiltonian.

  Language:Python19675043

• bobby-didcoding/resume_app

  Django app to digitise your resume and help you stand out in a crowd.

  Language:Python9547103

• vossjo/ase-espresso

  ase interface for Quantum Espresso

  Language:Python62171655

• Apress/beginning-pyqt

  Source Code for 'Beginning PyQt' by Joshua Willman

  Language:Python455038

• gVallverdu/bandstructureplots

  Band structure plots using pymatgen and a rgb scale to look at atomic or orbital contributions.

  Language:Python45111441

• joeattueyi/cours-analyse

  English translation of Jordan's Cours d'Analyse

  Language:TeX314

• molmd/mispr

  A software for automating materials science computations

  Language:Python30426

• filippo-masi/Thermodynamics-Neural-Networks

  Thermodynamics-based Artificial Neural Networks

  Language:Jupyter Notebook19417

• sheriftawfikabbas/crystalfeatures

  Language:Julia179

• atomisticnet/ml-catalysis

  Machine Learning for Catalysis

  Language:Jupyter Notebook152011

• mechanoChem/mechanoChemML

  mechanoChemML library

  Language:Python159110

• Ramprasad-Group/ML-DFT

  Predict the electronic structure and atomic properties (potential energy, forces, and stress tensor) of polymers containing N and/or O.

  Language:Python125

• jkginfinite/Superconductors_Regression

  Regression analysis on predicting the temperature of superconducting materials

  Language:Jupyter Notebook85

• xmqin/HONPAS

  HONPAS based on SIESTA-4.1.5

  Language:Fortran7203

• FuhgJan/invariant_DD_CM

  Language:MATLAB32

• rashatwi/mispr-dataset

  Materials property datasets using high-throughput DFT simulations

  3001

• yongtaoliu/DKL-BEPS

  Language:Jupyter Notebook3

• kevinchang73/kevinchang73.github.io

  Kevin (Kai-Chun) Chang's Personal Website

  Language:JavaScript1

• ssthurai/keras-preprocessing

  Utilities for working with image data, text data, and sequence data.

  Language:Python1000

• ssthurai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:Jupyter Notebook1000