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 contact@unitary.ai.

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.

Kaggle Competition: Toxic Comments Classification (Link: https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge)

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.

Deep Learning for Toxic Comment Classification

A supervised learning based tool to identify toxic code review comments

Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.

Набор ноутбуков, в которых решаются различные задачи обработки естественного языка (NLP).

The official code to reproduce results from the NACCL2019 paper: White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks

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.

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.

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