DeepChem is a Python library for chemistry and biology. It helps you predict molecular properties like solubility and toxicity. You can use it with traditional machine learning or graph neural networks.
The library offers many featurizers to turn molecules into numbers. These include fingerprints, descriptors, and graph representations. It also provides benchmark datasets from MoleculeNet for testing models.
Scientists use DeepChem for drug discovery and materials science. It is great for quick experiments with pre-trained models.
Add Deepchem skill to your workflow
Global
mkdir -p ~/.claude/skills/deepchemProject
mkdir -p .claude/skills/deepchemSource Repository
More Data Science & ML Claude Code Skills
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Data Visualizationanthropics/knowledge-work-plugins
Pick the right chart, write clean Python code, and design for everyone
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Bigquery Basicsgoogle/skills
Easily analyze massive datasets with SQL and built-in machine learning