Research record
What this organization contributes
A research description has not been supplied. Follow the source for the original project documentation.
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GitHub public profile
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AIPOCH catalog: 1 projects · 1 capabilities.
Last successful profile check: unknown · Latest attempt: 2026-09-22T08:40:55.313Z · unavailable
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
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.
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.
Claims & evidence
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