autonlp VS MAX-Toxic-Comment-Classifier

Compare autonlp vs MAX-Toxic-Comment-Classifier and see what are their differences.

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autonlp MAX-Toxic-Comment-Classifier
3 1
680 51
- -
7.3 0.0
over 2 years ago 12 months 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.

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.

MAX-Toxic-Comment-Classifier

Posts with mentions or reviews of MAX-Toxic-Comment-Classifier. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing autonlp and MAX-Toxic-Comment-Classifier you can also consider the following projects:

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

spacy-models - 💫 Models for the spaCy Natural Language Processing (NLP) library

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

flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)

huggingface_hub - The official Python client for the Huggingface Hub.

MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.

nlp-recipes - Natural Language Processing Best Practices & Examples

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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

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

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

MAX-Object-Detector - Localize and identify multiple objects in a single image.