OpenPrompt VS nlp-recipes

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

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OpenPrompt nlp-recipes
1 5
4,116 6,020
2.3% -
4.4 0.0
2 months ago over 1 year ago
Python Python
Apache License 2.0 MIT License
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.

OpenPrompt

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

We haven't tracked posts mentioning OpenPrompt yet.
Tracking mentions began in Dec 2020.

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.

What are some alternatives?

When comparing OpenPrompt and nlp-recipes you can also consider the following projects:

autonlp - 🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically

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

clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

camel_tools - A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

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

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

deepsegment - A sentence segmenter that actually works!

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

chappie.ai - Generalized AI to perform a multitude of tasks written in python3

spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.

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.

forte - Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/