How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Matbench Discovery
The main features of janosh/matbench-discovery are: Community Resources.
Open-source alternatives to janosh/matbench-discovery include: deepmodeling/deepmodeling-projects — deepmodeling-projects. deepmodeling/openlam — After cloning this project, install lam-crystal-philately with common dependencies (including requirements for… divelab/airs — [license-image]:https://img.shields.io/badge/license-GPL3.0-green.svg [license-url]:https://github.com/divelab/AIRS/blo… eipgen/neural-network-models-for-chemistry — A collection of Neural Network Models for chemistry - Quantum Chemistry Method - Force Field Method - Kernel Methods -… garden-ai/garden — Easy Model Publishing: Publish pre-trained AI/ML models from a notebook with just a few commands - Reproducible… dbt-labs/docs.getdbt.com — We use docusaurus to power docs.getdbt.com.
After cloning this project, install lam-crystal-philately with common dependencies (including requirements for workflows) by ` pip install . To install additional dependencies for DP pip install ".dp" or mace pip install ".mace" `
license-image:https://img.shields.io/badge/license-GPL3.0-green.svg license-url:https://github.com/divelab/AIRS/blob/main/LICENSE contributing-image:https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat
We use docusaurus to power docs.getdbt.com.