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Name: Aasif Majeed
Type: User
Name: Aasif Majeed
Type: User
This is Andrew NG Coursera Handwritten Notes.
New API client for the Materials Project
Things that you should (and should not) do in your Materials Informatics research.
Course Files for Complete Python 3 Bootcamp Course on Udemy
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Code to help you get started using machine learning in materials science
Notebooks and code for the book "Introduction to Machine Learning with Python"
Repo for storing notes and pracitcal implemtations
Evaluate various supervised learning methods to predict cohesive energies of solids (kernel ridge regression is the best)
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Applying machine learning to electrodes found in materialsproject.com and adding other features that
Public repo for Materials API documentation
scripts to load all data from ICSD, Materials Project, and OQMD
Data mining for materials science
A repo of examples for the matminer (https://github.com/hackingmaterials/matminer) code
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Different ML model has been used to predict the bandgap of materials
Introduction to Network Technology
Repository to store sample python programs for python learning
Web site for www.py4e.com and source to the Python 3.0 textbook
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.
A Highly Opinionated List of Open Source Materials Informatics Resources
Config files for my GitHub profile.
Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn.
The Materials Project Workshop Curriculum
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.