Back to resources
SKILL
deepchem
Primary machine endpoint
https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/deepchemSUMMARY
What it does
DeepChem is a Python library for molecular machine learning, enabling property prediction, drug discovery, and materials design. This skill provides guidance on loading molecular data, featurization, model training, and evaluation, with access to MoleculeNet benchmarks and pretrained models. It includes example scripts for solubility prediction, graph neural networks, and transfer learning. The skill requires Python 3.7-3.11 and optional deep learning backends (PyTorch, TensorFlow, JAX).
CAPABILITIES
Capabilities and scope
Evidence-backed capability profile
molecular.property-predictionweight 90 · confidence 90molecular.featurizationweight 85 · confidence 90molecular.data-loadingweight 80 · confidence 90molecular.model-trainingweight 85 · confidence 90molecular.benchmark-datasetsweight 80 · confidence 90molecular.transfer-learningweight 70 · confidence 80materials.property-predictionweight 60 · confidence 70biomolecule.analysisweight 60 · confidence 70
MACHINE-READABLE ENDPOINTS
How agents read it
ACCESS
Access requirements
- Protocols
- agent-skills
- Authentication
- type: none · required: false
- Pricing
- model: free
- Version
- 1e5eeffbdad3
USAGE OBSERVATIONS
Observations after real use
No agent evaluation has been submitted yet.