junky lib: Layers, datasets and utilities for PyTorch
Provides a bunch of tools and utilities to use with PyTorch.
Content
Installation
pip
junky supports Python 3.5 or later. To install it via pip, run:
$ pip install junky
If you currently have a previous version of junky installed, use:
$ pip install junky -U
From Source
Alternatively, you can also install junky from source of this git repository:
$ git clone https://github.com/fostroll/junky.git
$ cd junky
$ pip install -e .
License
junky is released under the BSD License. See the LICENSE file for more details.
Metadata
Release files for junky 1.1.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| junky-1.1.12.tar.gz | 59.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| junky-1.1.12-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 134.8 kB
Release files / junky-1.1.12.tar.gz
| Download URL | junky-1.1.12.tar.gz |
|---|---|
| Size | 59.6 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/4.0.2 CPython/3.9.10
|
Release files / junky-1.1.12-py3-none-any.whl
| Download URL | junky-1.1.12-py3-none-any.whl |
|---|---|
| Size | 75.3 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/4.0.2 CPython/3.9.10
|