Summary
This package can train a model that learns the “structure” of the words in a supplied text corpus. It then generates new words with a similar structure, which can be used as suggestions for naming things like companies or software.
Quickstart
Check out the Jupyter Notebook(s) in doc/notebooks/.
Documentation
The full documentation is available online
I also gave a lightning talk presenting the basic idea, it’s available on Youtube.
Extended summary
Naming a startup is hard.
I therefore wrote a Python package to randomly generate company name ideas.
It takes an arbitrary text as input, and then trains a recurrent neural network (RNN) on each its words, learning the structure of the text. The input text can be a simple word list (e.g. Greek or Gallic), or a chapter from a book, or just a random list of words (e.g. all Pokemon). The script then generates new random names that sound simliar to the provided list.
Literature/References
1 maintainer
Metadata
1 maintainer
Release files for sng 0.3.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| sng-0.3.2.tar.gz | 7.4 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sng-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.6 MB
Release files / sng-0.3.2.tar.gz
| Download URL | sng-0.3.2.tar.gz |
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| Size | 7.4 MB |
| Tags | Source |
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Release files / sng-0.3.2-py3-none-any.whl
| Download URL | sng-0.3.2-py3-none-any.whl |
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| Size | 190.0 kB |
| Tags | Python 3 |
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