usualsuspects
The repo contains a small set of tools to create visualisations I constantly find inside of ML papers. It is also primarily a personal testbed for practicing software engineering practices and the whole PyPI/RTD/Github/CI ecosystem.
If you find any of the tools useful please consider leaving a star on the repo or contributing!
Installation
The most stable version can be installed from PyPI via pip in the terminal.
pip install usualsuspects
Alternatively the bleeding edge version of this little library will be on the repo. Buiding from sources is as simple as cloning the repo and running a developer install in the root folder of the directory (where setup.py is) with:
pip install -e .
This will allow you to adapt the source code to your liking and the changes will take effect immediately.
Contributing
TODO. Will set this up after CI is set up.
1 maintainer
Metadata
1 maintainer
Release files for usualsuspects 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| usualsuspects-0.2.1.tar.gz | 5.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| usualsuspects-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.9 kB
Release files / usualsuspects-0.2.1.tar.gz
| Download URL | usualsuspects-0.2.1.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / usualsuspects-0.2.1-py3-none-any.whl
| Download URL | usualsuspects-0.2.1-py3-none-any.whl |
|---|---|
| Size | 6.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.9
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