OpenPrompt VS autonlp

Compare OpenPrompt vs autonlp and see what are their differences.

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OpenPrompt autonlp
1 3
4,146 680
2.0% -
4.4 7.3
3 months ago about 2 years ago
Python Python
Apache License 2.0 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.

OpenPrompt

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

autonlp

Posts with mentions or reviews of autonlp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-19.

What are some alternatives?

When comparing OpenPrompt and autonlp you can also consider the following projects:

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

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

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

huggingface_hub - The official Python client for the Huggingface Hub.

nlp-recipes - Natural Language Processing Best Practices & Examples

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

MAX-Toxic-Comment-Classifier - Detect 6 types of toxicity in user comments.

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

kaggle-disaster-tweet-competition - Participating to a Kaggle competition without coding any Machine Learning

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.