CitrineInformatics / python-citrination-clientLinks
Reference implementation in python for Citrination api
☆14Updated 4 years ago
Alternatives and similar repositories for python-citrination-client
Users that are interested in python-citrination-client are comparing it to the libraries listed below
Sorting:
- Tutorials, notebooks, issue tracker, and website on the MPDS API: the data retrieval interface for the Materials Platform for Data Scienc…☆26Updated 2 weeks ago
- Training materials☆22Updated 5 years ago
- ☆16Updated 3 years ago
- The Element Movers Distance for chemical composition similarity☆36Updated 7 months ago
- Specification of a common REST API for access to materials databases☆98Updated last month
- Agent-based sequential learning software for materials discovery☆63Updated last year
- NIST Interatomic Potential Repository property calculation tools☆24Updated 2 months ago
- MatID is a python package for identifying and analyzing atomistic systems based on their structure. MatID is designed to help researchers…☆23Updated last year
- ☆96Updated last month
- Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.☆37Updated 2 years ago
- Data Science for Materials Science☆65Updated 3 weeks ago
- ☆26Updated last year
- A knowledge graph for Materials Science.☆75Updated 11 months ago
- ☆43Updated 7 months ago
- Code to help you get started using machine learning in materials science☆17Updated 6 years ago
- Python Package for electrochemical analysis☆24Updated 6 months ago
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆126Updated 2 weeks ago
- A one-stop-shop for handling data in computational spectroscopy☆16Updated last week
- General purpose tools for high-throughput catalysis☆96Updated 5 months ago
- Python package to aid materials design and informatics☆125Updated 3 weeks ago
- Forge is the Python package to access data in the Materials Data Facility☆31Updated 3 years ago
- PROPhet is a code to integrate machine learning techniques with first-principles quantum chemistry approaches☆65Updated 7 years ago
- pyiron_atomistics - an integrated development environment (IDE) for atomistic simulation in computational materials science.☆47Updated last week
- Python Materials Discovery Framework☆75Updated last year
- Course materials for "Applied AI for Materials Science and Engineering"☆67Updated 3 years ago
- Solid-state synthesis science analyzer. Thermo, features, ML, and more.☆26Updated 3 years ago
- MatDeepLearn for DOS prediction☆25Updated 3 years ago
- python simulation interface for molecular modeling☆99Updated 3 years ago
- Veidt is a deep learning library for materials science.☆18Updated 5 years ago
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆85Updated 5 months ago