wolkenatlas

Name	wolkenatlas JSON
Version	0.2.3 JSON
	download
home_page	https://github.com/tttthomasssss/wolkenatlas
Summary	NLP embedding wrapper
upload_time	2023-07-21 06:46:03
maintainer
docs_url	None
author	Thomas Kober
requires_python	>=3.8
license	MIT License Copyright (c) 2020 Thomas Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords	nlp research distributional-semantics word-embedding word-representation word-vector representation-learning
VCS
bugtrack_url
requirements	numpy
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # wolkenatlas


```                                                                                                                                                                      
 __     __     ______     __         __  __     ______     __   __     ______     ______   __         ______     ______    
/\ \  _ \ \   /\  __ \   /\ \       /\ \/ /    /\  ___\   /\ "-.\ \   /\  __ \   /\__  _\ /\ \       /\  __ \   /\  ___\   
\ \ \/ ".\ \  \ \ \/\ \  \ \ \____  \ \  _"-.  \ \  __\   \ \ \-.  \  \ \  __ \  \/_/\ \/ \ \ \____  \ \  __ \  \ \___  \  
 \ \__/".~\_\  \ \_____\  \ \_____\  \ \_\ \_\  \ \_____\  \ \_\\"\_\  \ \_\ \_\    \ \_\  \ \_____\  \ \_\ \_\  \/\_____\ 
  \/_/   \/_/   \/_____/   \/_____/   \/_/\/_/   \/_____/   \/_/ \/_/   \/_/\/_/     \/_/   \/_____/   \/_/\/_/   \/_____/ 
```                                                                                                                        

_All your embeddings are belong to us_

Wolkenatlas is a lightweight embedding wrapper with only a single dependency: `numpy`.

### Installation

```bash
pip install wolkenatlas
```

            

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