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].
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Updated
Jun 19, 2024 - Python
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].
top 1% solution to toxic comment classification challenge on Kaggle.
An R wrapper for Conversation AI's Perspective API
Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
在Pytorch下,采用LSTM/C-LSTM/CNN等方法,对评论进行多标签分类
A web-app to identify toxic comments in a youtube channel and delete them.
AntiToxicBot is a bot that detects toxics in a chat using Data Science and Machine Learning technologies. The bot will warn admins about toxic users. Also, the admin can allow the bot to ban toxics.
Kaggle Competition: Toxic Comments Classification (Link: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge)
Deep Learning for Toxic Comment Classification
Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.
Набор ноутбуков, в которых решаются различные задачи обработки естественного языка (NLP).
A supervised learning based tool to identify toxic code review comments
The official code to reproduce results from the NACCL2019 paper: White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
A discord bot capable of detecting toxic messages sent to a server, delete them and warn the author.
This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.
A basic and simple yet powerful Python library to detect toxicity/profanity of a review or list of reveiws.
NLP deep learning model for multilingual toxicity detection in text 📚
Familiarity with some cloud services
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