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.
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GitHub source
DeclareDesign/DeclareDesign
DeclareDesign: Declare and Diagnose Research Designs
GitHub source
DeclareDesign/estimatr
estimatr: Fast Estimators for Design-Based Inference
GitHub source
DeclareDesign/randomizr
randomizr: Easy-to-Use Tools for Common Forms of Random Assignment and Sampling
deepchem
@deepchem
Public GitHub organization represented by selected research sources.
Tool
DeepChem tool
Build a molecular machine-learning workflow from featurization through data splitting, training and evaluation with DeepChem.
GitHub source
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
GitHub profile
dfm
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Catalog snapshot 2026-09-22. Date ranges use UTC. Filters use the captured page time; results can change with a new catalog snapshot. Research stays at its original source.