PyTorch-NLP VS NLTK

Compare PyTorch-NLP vs NLTK and see what are their differences.

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PyTorch-NLP NLTK
1 69
2,180 13,857
- 0.9%
0.0 9.0
over 1 year ago 6 days ago
Python Python
BSD 3-clause "New" or "Revised" License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

PyTorch-NLP

Posts with mentions or reviews of PyTorch-NLP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-02.

NLTK

Posts with mentions or reviews of NLTK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-08-13.

What are some alternatives?

When comparing PyTorch-NLP and NLTK you can also consider the following projects:

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

pytext - A natural language modeling framework based on PyTorch

TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Jieba - 结巴中文分词

polyglot - Multilingual text (NLP) processing toolkit

IEPY - Information Extraction in Python

SnowNLP - Python library for processing Chinese text

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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
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