Sentimentanalysis VS OpenPrompt

Compare Sentimentanalysis vs OpenPrompt and see what are their differences.

Sentimentanalysis

Language independent sentiment analysis (by AOK-PLUS)
sentiment-analysis universal-sentence-encoder NLP nlp-machine-learning Tensorflow2 Deep Learning Embeddings sentence2vec Multilingual
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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Sentimentanalysis OpenPrompt
2 1
7 4,158
- 0.8%
2.6 4.4
about 3 years 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.

Sentimentanalysis

Posts with mentions or reviews of Sentimentanalysis. 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 Sentimentanalysis and OpenPrompt you can also consider the following projects:

trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

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

contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

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

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

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

nlp-recipes - Natural Language Processing Best Practices & Examples

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.

Sentimentanalysis vs trankit OpenPrompt vs autonlp Sentimentanalysis vs contextualized-topic-models OpenPrompt vs clip-as-service Sentimentanalysis vs PyTorch-NLP OpenPrompt vs camel_tools OpenPrompt vs nlp-recipes OpenPrompt vs thinc OpenPrompt vs chappie.ai OpenPrompt vs spokestack-python OpenPrompt vs attention-is-all-you-need-pytorch OpenPrompt vs transformers