awesome-nlp VS OpenCV

Compare awesome-nlp vs OpenCV and see what are their differences.

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awesome-nlp OpenCV
3 196
16,024 75,692
- 1.0%
4.3 9.9
6 months ago 3 days ago
C++
Creative Commons Zero v1.0 Universal Apache License 2.0
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.

OpenCV

Posts with mentions or reviews of OpenCV. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-13.

What are some alternatives?

When comparing awesome-nlp and OpenCV you can also consider the following projects:

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

libvips - A fast image processing library with low memory needs.

lxml - The lxml XML toolkit for Python

VTK - Mirror of Visualization Toolkit repository

nlp_course - YSDA course in Natural Language Processing

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

astropy - Astronomy and astrophysics core library

CImg - The CImg Library is a small and open-source C++ toolkit for image processing

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

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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

Boost.GIL - Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80