HexagDLy
HexagDLy is a Python-library extending the PyTorch deep learning framework with convolution and pooling operations on hexagonal grids. It can be used to build convolutional neural networks for applications that rely on hexagonally sampled data. More information is avialable on GitHub
Release files for hexagdly 2.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hexagdly-2.0.2.tar.gz | 6.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hexagdly-2.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.1 kB
Release files / hexagdly-2.0.2.tar.gz
| Download URL | hexagdly-2.0.2.tar.gz |
|---|---|
| Size | 6.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.0 CPython/3.6.7
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Release files / hexagdly-2.0.2-py3-none-any.whl
| Download URL | hexagdly-2.0.2-py3-none-any.whl |
|---|---|
| Size | 7.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9dffa265c1636d958929bfc03f56183bc0eaeed3e73645638827e3fba37955a3
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BLAKE2b-256 checksum How to use checksums |
73d5005976bf8b53cd9be6f51e054f576e76041fd425488a52f1d883494916b1
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.0 CPython/3.6.7
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