10 actions in 6 pieces of software · ranked by words, meaning and measured trust · 535 ms
skilldavila7/claude-code-templatesrecord
- deepchem
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
- deepchem
skillk-dense-ai/scientific-agent-skillsrecord
- deepchem
Builds molecular property prediction and MoleculeNet workflows with DeepChem, including SMILES featurization, scaffold or grouped holdouts, masked labels, graph models and explicit pretrained encoder transfer. Used for ADMET, toxicity, solubility and chemistry ML when DeepChem data/model contracts a
- deepchem
skillK-Dense-AI/claude-scientific-skillsrecord
- deepchem
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
- deepchem
libraryhuggingface/peftrecord8,417,278 downloads/month
- deep
librarylangchain-ai/deepagentsrecord5,563,902 downloads/month
- agents
- langchain
- ai
- deep-agent
- agentic
- 6chemdeepfound in code, not yet checkedno passport yet
MCP serverkettly1260/chemdeep
- run_deep_research
【全流程深度研究】一键执行完整的迭代式深度文献调研流程。
- run_deep_research
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.