AcademyRulesData and reporting
Data teams building machine learning models on chemical data who want consistent, reproducible code from their AI editor.
mkdir -p .cursor/rules && curl -fsSL https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/pytorch-scikit-learn-cursorrules-prompt-file.mdc -o .cursor/rules/pytorch-scikit-learn.mdcThird party software. By copying, downloading or installing it you accept the Academy legal notice: you are responsible for reviewing its code and permissions before use.
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A Cursor rules file that sets the assistant up as a Python machine learning expert for chemistry. It covers scikit-learn for classic models, PyTorch for deep learning, chemical data handling with RDKit or OpenBabel, data splitting, and model validation.
Data teams building machine learning models on chemical data who want consistent, reproducible code from their AI editor. A Cursor rules file that sets the assistant up as a Python machine learning expert for chemistry. It covers scikit-learn for classic models, PyTorch for deep learning, chemical data handling with RDKit or OpenBabel, data splitting, and model validation.
Run this in your terminal: mkdir -p .cursor/rules && curl -fsSL https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/pytorch-scikit-learn-cursorrules-prompt-file.mdc -o .cursor/rules/pytorch-scikit-learn.mdc
Yes. The code is on GitHub (PatrickJS/awesome-cursorrules) under the CC0-1.0 licence.
It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.