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.

Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations

在Pytorch下，采用LSTM/C-LSTM/CNN等方法，对评论进行多标签分类

A supervised learning based tool to identify toxic code review comments

A discord bot capable of detecting toxic messages sent to a server, delete them and warn the author.

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 basic and simple yet powerful Python library to detect toxicity/profanity of a review or list of reveiws.

Total Surveillance for Infiltrators, a defense security solutions suite, sort documents on the fly for malcontent, configure drones for maximum area coverage, send communications via commo hubs, protected by swarm and blockchain. TLDR : Automated Solutions for Counter Insurgency. This repo contains the AI/ML models.

Comments & Twitter accounts gRPC classification service.

Identify and classify toxic commentary

BUAA SCSE Autumn 2021 Machine Learning Group Homework

Repo of Kaggle Toxic Comment Classification Challenge

APOLLO-1: Online Toxicity Detection

A bot that helps create more friendly discord environments. Uses machine learning to classify and report toxic messages.

Filter out the inappropriate comments from a large corpus of the same, without the aid of labelled examples.

PyTorch deep learning model to detect toxic of Vietnamese sentences using Bert

Detecting different types of toxicity in Wikipedia comments ( Kaggle Toxic Comment Classification Challenge)

Toxic message detection system using machine learning.

This repository deals with "Toxic Comment Classification" using ML and DL.