Awesome-Quant-Machine-Learning-Trading VS awesome-nlp

Compare Awesome-Quant-Machine-Learning-Trading vs awesome-nlp and see what are their differences.

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Awesome-Quant-Machine-Learning-Trading awesome-nlp
53 3
2,436 16,024
- -
0.0 4.3
9 months ago 6 months ago
- 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.

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 Awesome-Quant-Machine-Learning-Trading and awesome-nlp you can also consider the following projects:

Machine-Learning-Tutorials - machine learning and deep learning tutorials, articles and other resources

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

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

lxml - The lxml XML toolkit for Python

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.

WeasyPrint - The awesome document factory