negspacy VS neuralcoref

Compare negspacy vs neuralcoref and see what are their differences.

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negspacy neuralcoref
1 6
266 2,799
- 0.0%
1.0 0.0
2 months ago about 1 year ago
Python C
MIT License MIT 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.

negspacy

Posts with mentions or reviews of negspacy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-19.

neuralcoref

Posts with mentions or reviews of neuralcoref. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-13.

What are some alternatives?

When comparing negspacy and neuralcoref you can also consider the following projects:

negate - negate_sentence(A Python module that doesn't negate sentences.)

libpostal - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

sentimental-onix - sentiment analysis for spacy pipeline in python

spacy-experimental - 🧪 Cutting-edge experimental spaCy components and features

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

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

coreferee - Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages

emlearn-micropython - Efficient Machine Learning engine for MicroPython

CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

pytorch-forecasting - Time series forecasting with PyTorch