A repo of examples for the matminer (https://github.com/hackingmaterials/matminer) code
☆126Jun 7, 2021Updated 5 years ago
Alternatives and similar repositories for matminer_examples
Users that are interested in matminer_examples are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An automatic engine for predicting materials properties.☆176Nov 12, 2023Updated 2 years ago
- Data mining for materials science☆616Updated this week
- The Materials Project Workshop Curriculum☆121Mar 1, 2023Updated 3 years ago
- Public repo for Materials API documentation☆145Aug 20, 2022Updated 4 years ago
- atomate is a powerful software for computational materials science and contains pre-built workflows.☆265Jul 18, 2024Updated 2 years ago
- 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.
- A suite of computational materials science tools.☆146Jun 29, 2026Updated 2 months ago
- Crystal graph convolutional neural networks for predicting material properties.☆892Sep 6, 2021Updated 5 years ago
- A toolkit for querying data in OQMD.☆23Jan 2, 2022Updated 4 years ago
- AlphaCrytal: Contact map based deep learning algorithm for crystal structure prediction☆11Aug 18, 2023Updated 3 years ago
- Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.☆291Jun 1, 2026Updated 3 months ago
- Representation Learning from Stoichiometry☆61Dec 12, 2022Updated 3 years ago
- Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals☆558Apr 27, 2023Updated 3 years ago
- Crystal Graph Neural Networks☆109Apr 20, 2024Updated 2 years ago
- MaterialsCoord: infrastructure to benchmark crystal structure coordination algorithms☆20Mar 13, 2023Updated 3 years ago
- 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.
- A knowledge graph for Materials Science.☆78Nov 4, 2024Updated last year
- Materials informatics framework for ab initio data repositories☆18Aug 16, 2022Updated 4 years ago
- Automatic generation of crystal structure descriptions.☆142Jun 15, 2026Updated 3 months ago
- Predict materials properties using only the composition information!☆133Apr 23, 2023Updated 3 years ago
- image-based generative model for inverse design of solid state materials☆44Feb 18, 2022Updated 4 years ago
- Unsupervised learning of atomic scale dynamics from molecular dynamics.☆84Dec 14, 2021Updated 4 years ago
- Pytorch Repository for our work: Graph convolutional neural networks with global attention for improved materials property prediction☆88Dec 17, 2024Updated last year
- About JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/…☆401Aug 25, 2025Updated last year
- XenonPy is a Python Software for Materials Informatics☆159Jul 15, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Things that you should (and should not) do in your Materials Informatics research.☆205Nov 17, 2023Updated 2 years ago
- Word2Vec model trained across 640k+ materials science journal articles☆54Sep 14, 2017Updated 9 years ago
- A random forest☆53Feb 18, 2025Updated last year
- pymatgen-analysis-alloys is an add-on package for pymatgen intended to contain useful classes for describing alloy systems and analyzing …☆19Apr 24, 2026Updated 4 months ago
- New API client for the Materials Project☆179Sep 8, 2026Updated last week
- MODNet: a framework for machine learning materials properties☆112May 2, 2025Updated last year
- ☆22Aug 31, 2020Updated 6 years ago
- data and code to reduplicate paper: Topological representations of crystalline compounds for the machine-learning prediction of materials…☆23Jan 21, 2021Updated 5 years ago
- Veidt is a deep learning library for materials science.☆18May 5, 2020Updated 6 years ago
- 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.
- MatDeepLearn, package for graph neural networks in materials chemistry☆206Mar 20, 2023Updated 3 years ago
- Python Materials Discovery Framework☆76Feb 2, 2024Updated 2 years ago
- Matbench: Benchmarks for materials science property prediction☆217Aug 20, 2024Updated 2 years ago
- Curated list of known efforts in materials informatics, i.e. in modern materials science☆529Mar 24, 2026Updated 5 months ago
- ChemML is a machine learning and informatics program suite for the chemical and materials sciences.☆180Sep 11, 2026Updated last week
- Benchmark AFLOW Data Sets for Machine Learning doi.org/10.1007/s40192-020-00174-4☆11Aug 29, 2020Updated 6 years ago
- Tool to quickly create a composition-based feature vector☆33Mar 30, 2022Updated 4 years ago