detoxify VS multi-label-sentiment-classifier

Compare detoxify vs multi-label-sentiment-classifier and see what are their differences.

detoxify

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected]. (by unitaryai)
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detoxify multi-label-sentiment-classifier
4 1
839 17
1.7% -
6.2 1.8
23 days ago about 3 years ago
Python Jupyter Notebook
Apache License 2.0 MIT License
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.

detoxify

Posts with mentions or reviews of detoxify. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-10.
  • ML Discord Moderation Bot
    1 project | /r/DiscordModeration | 2 Aug 2022
    I created a small discord moderation bot, src can be found at https://gist.github.com/KrautByte/975f404969f4de8f4147e1bb4f7b64cb using https://github.com/unitaryai/detoxify
  • Cedille, the largest French language model , released in open source
    4 projects | /r/france | 10 Nov 2021
  • Show HN: Cedille, the largest French language model, released in open source
    3 projects | news.ycombinator.com | 10 Nov 2021
    Yeah, this kind of toxic output sadly still can happen :-/

    We have fully analyzed the training dataset (1128 GB) using Detoxify (https://github.com/unitaryai/detoxify) to filter out problematic content. But of course detecting toxicity is a tough challenge in itself, so this process is imperfect at best.

    We are using the RealToxicityPrompt framework (https://realtoxicityprompts.apps.allenai.org/) to analyse how toxic our models are and to steer our efforts in this direction. This means we are generating thousands of completions and analysing them to see how "nasty" the model is. We plan to write more on this topic soon.

    But yeah, this is definitely far from being a solved problem, and our model (as well as all large language models) should be handled with care.

  • Implementing a toxicity detector in your chatbots
    5 projects | dev.to | 25 Mar 2021
    Detoxify is the result of three Kaggle competitions proposed to improve toxicity classifiers. Each had a different purpose within the toxicity classifiers context.

multi-label-sentiment-classifier

Posts with mentions or reviews of multi-label-sentiment-classifier. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing detoxify and multi-label-sentiment-classifier you can also consider the following projects:

quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

kogpt - KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

ganbert-pytorch - Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

mesh-transformer-jax - Model parallel transformers in JAX and Haiku

aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

cedille-ai - ✒️ Cedille is a large French language model (6B), released under an open-source license

predict-subreddit - NLP model that predicts subreddit based on the title of a post

finetune-gpt2xl - Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed

huggingpics - 🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

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.

browser-ml-inference - Edge Inference in Browser with Transformer NLP model