nlp-recipes VS awesome-nlp

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

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nlp-recipes awesome-nlp
5 3
6,020 16,024
- -
0.0 4.3
over 1 year ago 6 months ago
Python
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-recipes

Posts with mentions or reviews of nlp-recipes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-03.

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

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

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

OpenPrompt - An Open-Source Framework for Prompt-Learning.

lxml - The lxml XML toolkit for Python

rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

OpenCV - Open Source Computer Vision Library

deepsegment - A sentence segmenter that actually works!

nlp_course - YSDA course in Natural Language Processing

pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

astropy - Astronomy and astrophysics core library

Parrot_Paraphraser - A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

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