Gramformer VS nylon

Compare Gramformer vs nylon and see what are their differences.

Gramformer

A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration. (by PrithivirajDamodaran)

nylon

An intelligent, flexible grammar of machine learning. (by Palashio)
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Gramformer nylon
5 5
1,440 84
- -
0.0 0.0
about 1 year ago almost 3 years ago
Python Python
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.

Gramformer

Posts with mentions or reviews of Gramformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-27.

nylon

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

What are some alternatives?

When comparing Gramformer and nylon you can also consider the following projects:

gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

deep-fast-vision - A Python library for rapid prototyping of deep transfer learning vision models.

language_tool_python - a free python grammar checker 📝✅

MLBox - MLBox is a powerful Automated Machine Learning python library.

Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

orion - Asynchronous Distributed Hyperparameter Optimization.

kefir - 🥛turkic morphology project

aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

PyLFG - PyLFG is a Python library for working within the Lexical Functional Grammar (LFG) formalism. It provides a set of classes and methods for representing and manipulating LFG structures, including f-structures and c-structures.

ML.NET-Auto-ML-ESRB-Rating-Classification - Classifying Game ESRB Ratings using ML.NET Auto ML

plotnine - A Grammar of Graphics for Python

Keras - Deep Learning for humans