Neural Source Filter
Python package for NSF (unofficial)
Installation
Install this via pip (or your favourite package manager):
pip install neural-source-filter
Contributors ✨
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
Metadata
Release files for neural-source-filter 0.1.20
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neural_source_filter-0.1.20.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neural_source_filter-0.1.20-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.3 kB
Release files / neural_source_filter-0.1.20.tar.gz
| Download URL | neural_source_filter-0.1.20.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|
Release files / neural_source_filter-0.1.20-py3-none-any.whl
| Download URL | neural_source_filter-0.1.20-py3-none-any.whl |
|---|---|
| Size | 8.4 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.2
|