NeuralNets
This code implements various useful utilities for training neural networks (particularly for segmentation). Make sure to check out our documentation page!
Installation
Installation is straightforward through pip:
pip install neuralnets
Release files for neuralnets 1.1.9.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neuralnets-1.1.9.1.tar.gz | 42.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neuralnets-1.1.9.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:109.8 kB
Release files / neuralnets-1.1.9.1.tar.gz
| Download URL | neuralnets-1.1.9.1.tar.gz |
|---|---|
| Size | 42.8 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/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5
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Release files / neuralnets-1.1.9.1-py3-none-any.whl
| Download URL | neuralnets-1.1.9.1-py3-none-any.whl |
|---|---|
| Size | 67.0 kB |
| Tags | Python 3 |
|
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/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.5
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