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torchdrug

Builds and troubleshoots TorchDrug 0.2.1 workflows for molecular graphs

by k-dense-aiFree

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#1508in AI Skills
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Description

torchdrug is an agent skill for building and troubleshooting TorchDrug 0.2.1 workflows on molecular graphs. TorchDrug is a modular PyTorch s…

Highlights

  • Molecular graph property prediction
  • Self-supervised pretraining
  • Molecule generation and retrosynthesis
  • Modular dataset, model, task and engine design
  • Version check before generating code

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torchdrug FAQ

What is TorchDrug?

A modular PyTorch stack for graph learning on molecules, with datasets, models, tasks and an engine.

Which version is current?

0.2.1, the latest published release, which was released in July 2023.

Does it work on newer Python or PyTorch?

The skill treats newer combinations as unverified rather than assuming compatibility.

What tasks does it cover?

Property prediction, self-supervised pretraining, molecule generation and retrosynthesis.

How do I install it?

Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill torchdrug.

Is it checked for security?

Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.

What are the best torchdrug alternatives?

Popular alternatives to torchdrug include pytorch-patterns, metal-kernel and pr-review. See all torchdrug alternatives

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