ML-Course-Notes VS awesome-nlp

Compare ML-Course-Notes vs awesome-nlp and see what are their differences.

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ML-Course-Notes awesome-nlp
117 3
5,819 16,024
0.0% -
0.0 4.3
about 1 year ago 6 months ago
GNU General Public License v3.0 or later Creative Commons Zero v1.0 Universal
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.

ML-Course-Notes

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

awesome-nlp

Posts with mentions or reviews of awesome-nlp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-29.

What are some alternatives?

When comparing ML-Course-Notes and awesome-nlp you can also consider the following projects:

ML-YouTube-Courses - 📺 Discover the latest machine learning / AI courses on YouTube.

awesome-self-reference - A curated list of examples of self-reference in art, science, and technology

RubixML - A high-level machine learning and deep learning library for the PHP language.

lxml - The lxml XML toolkit for Python

Transformers-Recipe - 🧠 A study guide to learn about Transformers

OpenCV - Open Source Computer Vision Library

nlp_course - YSDA course in Natural Language Processing

astropy - Astronomy and astrophysics core library

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

nlp-tutorial - Natural Language Processing Tutorial for Deep Learning Researchers

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

PRAW - PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.