molgrid can be used to generate several types of tensors from input molecules, most uniquely three-dimensional voxel grids. Input can be specified fairly flexibly, with native support for numpy arrays and torch tensors as well as major molecular file formats via OpenBabel. Output generation has several options that facilitate obtaining good performance from machine learning algorithms, including features like data augmentation and resampling.
Release files for molgrid 0.5.5
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| molgrid-0.5.5-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details |
Release files / molgrid-0.5.5-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | molgrid-0.5.5-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 27.4 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
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SHA-256 checksum How to use checksums |
415400052d15aacbd6125a9829b754b43f1a57de45391f629c933b2d6dcb847d
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BLAKE2b-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.9.6 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/1.0.0 urllib3/1.26.17 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8
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