Python library with Neural Networks for Volume (3D) Classification based on PyTorch. This library is based on famous PyTorch Image Models (timm) library for images.
Metadata
Release files for timm-3d 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| timm_3d-1.0.1.tar.gz | 508.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| timm_3d-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.1 MB
Release files / timm_3d-1.0.1.tar.gz
| Download URL | timm_3d-1.0.1.tar.gz |
|---|---|
| Size | 508.1 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 |
b40c91e5a2b109e030e9bd6b9512667dfed56e23c492423d3365a3623dc27a35
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.3
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Release files / timm_3d-1.0.1-py3-none-any.whl
| Download URL | timm_3d-1.0.1-py3-none-any.whl |
|---|---|
| Size | 626.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
975317909370defc3340b0e8f2d2a67d7bab215ec92b7a8c16d9392a57b962a5
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BLAKE2b-256 checksum How to use checksums |
183b8720c97dd31fc12725bcbf94a144ed0d33a935c56ef285ed26be68cf9b82
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.3
|