A package which allows for training segmentation models in Pytorch for high-dimensional 3D data, using invertible U-Nets (iUNets).
1 maintainer
Release files for iunets 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 | |
|---|---|---|---|
| iunets-0.1.tar.gz | 19.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iunets-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.6 kB
Release files / iunets-0.1.tar.gz
| Download URL | iunets-0.1.tar.gz |
|---|---|
| Size | 19.2 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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No |
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twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.6.12
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Release files / iunets-0.1-py3-none-any.whl
| Download URL | iunets-0.1-py3-none-any.whl |
|---|---|
| Size | 20.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
a5bae2c82108a6046d12013dba1da590df9b4afa8ad89550f8d1ba41dae7fe5e
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.6.12
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