Research record
Project overview
DeepChem is a scientific machine-learning library with utilities for datasets, feature processing, splitting and model evaluation. Molecular learning is one documented application within its broader scientific scope.
Catalog editorial description
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editor · 2026-09-22 — Project overview: editorial summary of public documentation. Rolling latest tutorials, 2.8.1.dev. Not execution or scientific validation.
Research classification
Chemical sciences
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editor · 2026-09-18 — 本提案聚焦分子机器学习与量子化学用途，化学为明确子用途，不否定其他研究领域。
Research question
Not supplied. The repository description is not treated as a formal research question.
Sources & versions
- Reference role
- primary
- Last successful public check
- 2026-09-22T08:38:01.367Z
- Latest public check attempt
- 2026-09-22T08:38:01.367Z · ok
- GitHub metrics
- Stars 7,008 · checked · latest attempt 2026-09-22T08:38:01.367Z (ok)
Forks 2,314 · checked · latest attempt 2026-09-22T08:38:01.367Z (ok) - Latest default-branch commit
455d07f3e17e880a4d980b5b0365e4a02b417e14
Observed 2026-09-22T08:38:01.367Z- Source activity check
- fresh · last successful check 2026-09-22T08:38:01.367Z · latest attempt 2026-09-22T08:38:01.367Z (ok)
- Source status
- Active at last observation
- License
- MIT
- Fixed commit
455d07f3e17e880a4d980b5b0365e4a02b417e14- Reference checked
- 2026-09-22
Default-branch activity is separate from the fixed reference above. Source terms apply. A fixed commit identifies content; it does not establish scientific validity.
Related research
Tool
DeepChem tool
Build a molecular machine-learning workflow from featurization through data splitting, training and evaluation with DeepChem.
Claims & evidence
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Research questions and code contributions belong with the original project. Catalog corrections can be proposed separately.