camel_tools VS OpenPrompt

Compare camel_tools vs OpenPrompt and see what are their differences.

camel_tools

A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi. (by CAMeL-Lab)
morphological-analysis NLP nlp-library nlp-apis Arabic dialect-identification sentiment-analysis named-entity-recognition Stemming pos-tagging arabic-dialects morphological-generation morphological-disambiguation morphological-reinflection
Source Code
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OpenPrompt

An Open-Source Framework for Prompt-Learning. (by thunlp)
NLP pre-trained-language-models AI nlp-machine-learning Natural Language Processing natural-language-understanding Deep Learning pre-trained-model nlp-library Pytorch Transformer Prompt prompt-toolkit Prompts prompt-based-tuning prompt-learning
Source Code
thunlp.github.io
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camel_tools OpenPrompt
2 1
377 4,152
0.8% 0.7%
3.6 4.4
6 months ago 4 months ago
Python Python
MIT License 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.

camel_tools

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

OpenPrompt

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

What are some alternatives?

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

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

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

momepy - Urban Morphology Measuring Toolkit

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

quanfima - Quanfima (Quantitative Analysis of Fibrous Materials)

nlp-recipes - Natural Language Processing Best Practices & Examples

gum - Repository for the Georgetown University Multilayer Corpus (GUM)

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

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.

attention-is-all-you-need-pytorch - A PyTorch implementation of the Transformer model in "Attention is All You Need".

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

camel_tools vs spaCy OpenPrompt vs autonlp camel_tools vs momepy OpenPrompt vs clip-as-service camel_tools vs quanfima OpenPrompt vs nlp-recipes camel_tools vs gum OpenPrompt vs thinc OpenPrompt vs chappie.ai OpenPrompt vs spokestack-python OpenPrompt vs attention-is-all-you-need-pytorch OpenPrompt vs transformers