MAX-Toxic-Comment-Classifier VS primeqa

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

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MAX-Toxic-Comment-Classifier primeqa
1 5
51 698
- 1.1%
0.0 8.8
11 months ago 8 days 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.

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.

primeqa

Posts with mentions or reviews of primeqa. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-20.

What are some alternatives?

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

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

question_extractor - Generate question/answer training pairs out of raw text.

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

cherche - Neural Search

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

google-local-results-ai-server - A server code for serving BERT-based models for text classification. It is designed by SerpApi for heavy-load prototyping and production tasks, specifically for the implementation of the google-local-results-ai-parser gem.

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

extreme-bert - ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.

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

SquadCalc - A Minimalist Squad Mortar Calculator

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

llmware - Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.