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.
Voice safety classifier
A web-app to identify toxic comments in a youtube channel and delete them.
Streams block game
This repository contains the code for the paper: "DeToxy: A Large-Scale Multimodal Dataset for Toxicity Classification in Spoken Utterances"
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.
A revolutionary AI-powered platform to help you solve doubts instantly, make learning easy, and achieve academic success.
A supervised learning based tool to identify toxic code review comments
NLP deep learning model for multilingual toxicity detection in text 📚
Module for predicting toxicity messages in Russian and English
Toxformer is an attempt at using transformers to predict the toxicity of molecules from their molecular structure using the T3DB database.
Offensive Language Identification Dataset for Brazilian Portuguese.
Classifying users on social media, using text embeddings from OpenAI and others
Simple Multi-Language HTTP Server Text Toxicity Detector
An AI to Scan for Toxic Tweets
Using Language Models to Identify and Classify Toxicity Inside In-Game Chat
Fast text toxicity classification model
Gold Standard for Toxicity and Incivility Project
It is a trained Deep Learning model to predict different level of toxic comments. Toxicity like threats, obscenity, insults, and identity-based hate.
This repository contains code for the paper: Cisco at SemEval-2021 Task 5: What’s Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments
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