nlp-tutorial VS awesome-nlp

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

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP) (by keon)
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nlp-tutorial awesome-nlp
1 3
13,712 16,024
- -
0.0 4.3
2 months ago 6 months ago
Jupyter Notebook
MIT License 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.

nlp-tutorial

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

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 nlp-tutorial and awesome-nlp you can also consider the following projects:

nlp_course - YSDA course in Natural Language Processing

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

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

lxml - The lxml XML toolkit for Python

nlp-recipes - Natural Language Processing Best Practices & Examples

OpenCV - Open Source Computer Vision Library

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

astropy - Astronomy and astrophysics core library

TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

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