https://github.com/altescy/nlpstack
📚 NLPSTACK: A Python Library for Natural Language Processing
https://github.com/altescy/nlpstack
nlp python pytorch scikit-learn
Last synced: 3 months ago
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📚 NLPSTACK: A Python Library for Natural Language Processing
- Host: GitHub
- URL: https://github.com/altescy/nlpstack
- Owner: altescy
- License: mit
- Created: 2023-05-04T07:24:29.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-14T12:24:45.000Z (11 months ago)
- Last Synced: 2025-04-11T14:27:38.251Z (3 months ago)
- Topics: nlp, python, pytorch, scikit-learn
- Language: Python
- Homepage: https://nlpstack.readthedocs.io/
- Size: 2.29 MB
- Stars: 5
- Watchers: 3
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 📚 NLPSTACK
[](https://github.com/altescy/nlpstack/actions/workflows/ci.yml)
[](https://github.com/altescy/nlpstack)
[](https://pypi.org/project/nlpstack/)
[](https://nlpstack.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/altescy/nlpstack/blob/master/LICENSE)A Python Library for Natural Language Processing
NLPSTACK is a Python library designed to make natural language processing (NLP) tasks more accessible and efficient.
With its key features listed below, NLPSTACK aims to become a go-to resource for developers working in NLP:- Built on top of [PyTorch](https://pytorch.org/), NLPSTACK offers ready-to-use modules for a seamless NLP experience.
- Provides a [scikit-learn](https://scikit-learn.org/) compatible interface, ensuring familiar and easy usage.
- Allows for seamless integration of models provided by the [🤗 Transformers](https://github.com/huggingface/transformers), enabling the use of powerful pre-trained models in your NLP workflows.
- Adopts a [dependency injection](https://en.wikipedia.org/wiki/Dependency_injection) design pattern, which ensures high extensibility and makes it easy to modify specific processes.
- 🚧 **Currently in the preliminary stages of development**, NLPSTACK plans to offer user-friendly interfaces for a wide range of NLP tasks in the future, including text classification, sequence labeling, language model training..., and more!## Installation
To install NLPSTACK, simply use the following command with pip:
```bash
pip install nlpstack
```Please be aware that NLPSTACK is in its early development stages.
As such, be prepared for the possibility of breaking changes as the library is being developed and refined.