This demo shows the functionality of the Voximplant instant messaging SDK, including silent supervision by a bot.

• Updated May 19, 2022
• TypeScript

This is a simple python program which uses a machine learning model to detect toxicity in tweets, developed in Flask.

• Updated Apr 4, 2024
• HTML

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.

• Updated Apr 10, 2024
• Jupyter Notebook

A supervised learning based tool to identify toxic code review comments

• Updated Sep 15, 2025
• Python

This is a simple python program which uses a machine learning model to detect toxicity in tweets, GUI in Tkinter.

• Updated May 28, 2023
• Python

NLP deep learning model for multilingual toxicity detection in text 📚

• Updated Aug 10, 2020
• Jupyter Notebook

Telegram bot that detects toxic comments based on Perspective API

• Updated Dec 9, 2021
• TypeScript

Simple Multi-Language HTTP Server Text Toxicity Detector

• Updated Jul 10, 2025
• Python

Using Language Models to Identify and Classify Toxicity Inside In-Game Chat

• Updated Jun 27, 2023
• Python

It is a trained Deep Learning model to predict different level of toxic comments. Toxicity like threats, obscenity, insults, and identity-based hate.

• Updated Oct 7, 2022
• Jupyter Notebook

This work focuses on the development of machine learning models, in particular neural networks and SVM, where they can detect toxicity in comments. The topics we will be dealing with: a) Cost-sensitive learning, b) Class imbalance

• Updated Jun 12, 2021
• Python

An Explainable Toxicity detector for code review comments. Published in ESEM'2023

• Updated Jul 10, 2023
• Python

Unveiling Identity Biases in Toxicity Detection: A Game-Focused Dataset and Reactivity Analysis Approach

• Updated Feb 22, 2024

This library can detect toxicity in the text or string or content and in return provide you the toxicity percentage in text or content with toxic words found in text.

• Updated Jun 7, 2022
• JavaScript

This repository features an LLM-based moderation system designed for game audio and text chats. By implementing toxicity moderation, it enhances the online interaction experience for gamers, improving player retention by minimizing adverse negative experiences in games such as Valorant and Overwatch. Ultimately reducing manual moderation costs.

• Updated Sep 23, 2024
• Python

An AI-powered content moderation system using Python and Hugging Face Transformers. Combines rule-based filtering and machine learning to detect and block toxic, profane, and politically sensitive content, built for developers and communities to create safer, positive online spaces.

• Updated May 23, 2025
• Python

The Toxic Comment Detector is a tool powered by Hugging Face’s unitary/toxic-bert model, designed to identify harmful, offensive, or abusive language in real time. Built with a ReactJS frontend and a Flask backend, it provides detailed insights into toxicity levels, enabling safer online environments.

• Updated Dec 12, 2024
• JavaScript

This is a application to analyse toxicity in social media using BERT and context analysis and aims to reduce toxicity

• Updated Dec 5, 2024
• HTML

A reproducible evaluation pipeline for assessing toxic content in language model outputs using Detoxify, developed as part of a 10-week research project.

• Updated Aug 17, 2025
• Python

Clean up your platform with AI-powered toxicity detection. This Flask-based REST API uses Detoxify & PyTorch to detect abusive, hateful, or toxic content in real time.

• Updated Jun 21, 2025