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Deep learning models for drug discovery, quantum chemistry, and the life sciences.
pip install deepchem-nightly
PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
deepchem-nightly publishes 0 wheels and 1 source archive for version 2.3.0. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.5, 3.6, 3.7.
PyPI lists 33 releases with files. The first dated release is ; 33 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .