PyTorch-NLP VS IEPY

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

IEPY

Information Extraction in Python (by machinalis)
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PyTorch-NLP IEPY
1 0
2,180 906
- 0.0%
0.0 0.0
9 months ago over 2 years ago
Python Python
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
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.

IEPY

Posts with mentions or reviews of IEPY. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning IEPY yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

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)

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

NLTK - NLTK Source

pytext - A natural language modeling framework based on PyTorch

Jieba - 结巴中文分词

quepy - A python framework to transform natural language questions to queries in a database query language.

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

textacy - NLP, before and after spaCy

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