deepchem

Maintained by k-dense-ai

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch

Current version: Unknown
License: MIT license
Network access: Unknown / not assessed
Review status: Not verified

Problem it solves

This catalog entry helps users find and evaluate deepchem for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider deepchem when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

deepchem is listed as an agent skill in RefHub. The listed maintainer is k-dense-ai. The available catalog summary is: Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

These commands are displayed for copying only and are never executed on RefHub servers. Review the linked upstream source before running them.

Install command

npx skills add k-dense-ai/scientific-agent-skills --skill deepchem -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.