Code to help you get started using machine learning in materials science
☆20Apr 5, 2019Updated 7 years ago
Alternatives and similar repositories for Houston_ML_in_MSE_workshop
Users that are interested in Houston_ML_in_MSE_workshop are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Things that you should (and should not) do in your Materials Informatics research.☆204Nov 17, 2023Updated 2 years ago
- This module provides a GUI editor tool for editing the parameters of some basic matplotlib plots. The aim is to be able to modify the plo…☆11Oct 28, 2021Updated 4 years ago
- Code for calculating grouped representation of interatomic distances (GRID) from crystal structures, and applying this in machine learnin…☆12Jun 22, 2023Updated 3 years ago
- A general self consistent loop for Dynamical Mean-Field Theory using Python☆13Jul 24, 2015Updated 11 years ago
- Codes to generate a bandgap database using ChemDataExtractor.☆10Jun 4, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Tool to quickly create a composition-based feature vector☆30Mar 30, 2022Updated 4 years ago
- A toolkit for querying data in OQMD.☆23Jan 2, 2022Updated 4 years ago
- ☆13Mar 11, 2026Updated 4 months ago
- Reference implementation in python for Citrination api☆14Mar 18, 2026Updated 4 months ago
- ☆34Feb 17, 2023Updated 3 years ago
- MODNet: a framework for machine learning materials properties☆112May 2, 2025Updated last year
- Efficient phase diagram construction based on uncertainty sampling☆15Jul 26, 2022Updated 4 years ago
- ☆104Sep 16, 2025Updated 10 months ago
- Python Cyclic Voltammetry Simulator based on MECSim☆27May 24, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆12Nov 3, 2019Updated 6 years ago
- This module uses Crystal Structure Prototype Database (CSPD) to generate a list of crystal structures for the system defined by user.☆19Feb 7, 2019Updated 7 years ago
- ☆22Aug 31, 2020Updated 5 years ago
- Materials Transformers☆25Feb 4, 2023Updated 3 years ago
- ☆11Mar 7, 2023Updated 3 years ago
- Python Package for electrochemical analysis☆28Apr 28, 2025Updated last year
- Data for Coordination Complexes for the InChI Identifier☆12May 11, 2021Updated 5 years ago
- Predicting Usable Lifetime of Lithium Ion Batteries☆26Mar 15, 2018Updated 8 years ago
- ☆12Oct 21, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction☆104Jan 13, 2026Updated 6 months ago
- ☆14Jul 13, 2022Updated 4 years ago
- Framework for Object Oriented Modelling of Bioprocesses☆18Feb 18, 2021Updated 5 years ago
- This is the Python code and original data of "Machine-Learning Guided Discovery and Optimization of Additives in Preparing Cu Catalyst fo…☆14Mar 16, 2023Updated 3 years ago
- Benchmarking☆34Nov 18, 2021Updated 4 years ago
- A knowledge graph for Materials Science.☆77Nov 4, 2024Updated last year
- Code that illustrates some of owlready2 functionality to parse an owl file☆11Feb 7, 2023Updated 3 years ago
- Quantum-Wise VNL Application for Perovskite Building and Machine Learning☆12May 14, 2020Updated 6 years ago
- Towards Finding the Essence of Everything in Large Language Models☆14Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆15Apr 8, 2023Updated 3 years ago
- ORION is a tool that ingests datasets from diverse knowledge bases and transforms them into modular, interoperable knowledge graphs.☆18Updated this week
- Benchmarking human and machine learning performance.☆34Jun 9, 2020Updated 6 years ago
- Code and results for Machine Learning Models to Accelerate the Design of Polymeric Long-Acting Injectables☆17Sep 29, 2022Updated 3 years ago
- Gaussian Mixture Models in Jax☆26Jul 14, 2025Updated last year
- A NLEIS toolbox for impedance.py that provides RC level nonlinear equivalent circuit modeling (nECM) and analysis☆15Jun 11, 2026Updated last month
- Machine Learning Introduction for a Material Scientist☆20Aug 23, 2021Updated 4 years ago