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About pytdc

pytdc
Provides Therapeutics Data Commons workflows through PyTDC
pytdc is an agent skill for working with Therapeutics Data Commons through the PyTDC package, imported as tdc. It covers discovering therapeutic machine-learning tasks, loading approved datasets, applying task-appropriate data splits, evaluating predictions with the standard metrics, and working with curated benchmark groups. The skill tells you to prefer the package's own metadata over copied dataset lists, and to plan the network and storage effects before you construct any loader, since some datasets download when loaded. Use it for drug and therapeutics machine learning benchmarks where a standard split and evaluation matter for comparing methods. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk. Install it with npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill pytdc.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/pytdc
