mbmkeffat Goto Github PK
Name: mbeffat
Type: User
Bio: Assistant Professor
Twitter: mbeffat86
Location: Egypt
Blog: www.mbeffat.com
Name: mbeffat
Type: User
Bio: Assistant Professor
Twitter: mbeffat86
Location: Egypt
Blog: www.mbeffat.com
A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.
Hierarchical Bayesian methods for inversion of electrochemical impedance spectroscopy (EIS) data
Chemical kinetics, thermodynamics, and transport tool suite
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Automatically extract chemical information from scientific documents
This is a collection of examples in computational thermodynamics.
Andrew Ng's Coursera ML coding exercises and notes
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Jupyter notebooks and data for our Chemistry of Materials article "Data-driven First Principles Methods for the Study and Design of Alkali Superionic Conductors"
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
This is the code to reliably fit Impedance Spectra, related to the article "Analysis of Thousands of Electrochemical Impedance Spectra of Lithium-ion Cells through a Machine Learning Inverse Model"
Notes and tutorials on density functional theory calculations using Quantum Espresso.
Explicit Conversion between different Equivalent Circuit Models for Electrochemical Impedance Analysis of Lithium-ion Batteries
A collection of mathematically validated modules (EDP) for FreeFEM
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
An open-source, web-based application for analyzing electrochemical impedance data!
Public development project of the LAMMPS MD software package
LAMMPS tutorials for Beginners
Solutions to Andrew NG's machine learning course on Coursera
machine learning and deep learning tutorials, articles and other resources
Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
Electronic structure code for molecules and clusters
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.