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.

The world's largest social media toxicity dataset.

A Python Implementation of Measures for Order Flow Risk, e.g. VPIN

SFU Opinion and Comments Corpus

Detect text toxicity in a simple way, using React. Based in a Keras model, loaded with Tensorflow.js.

A static code analysis tool for JavaScript and TypeScript.

A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.

The toxEval R-package includes a set of functions to analyze, visualize, and organize measured concentration data as it relates to chosen biological effects benchmarks. See https://doi-usgs.github.io/toxEval/ for more details

Smash molecule and obtain significant fragments

Highlight refactors and efforts to keep code base lean

A collection of transformer-based models and developmental scripts presented in the publication "Transformers enable accurate prediction of acute and chronic chemical toxicity in aquatic organisms".

Data from "Crowdsourcing of Parallel Corpora: the Case of Style Transfer for Detoxification" paper

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

Toxic text (comments/posts etc) detection library

Datasets used in the tox21 challenge

In silico platform to analize MD trajectories using metrics, clustering and machine&deep learning techniques

No description provided.

Module for predicting toxicity messages in Russian and English

Offensive Language Identification Dataset for Brazilian Portuguese.

Telegram bot that detects toxic comments based on Perspective API

R package for retrieving data from the California Environmental Data Exchange Network (CEDEN) via CEDEN's web services.

Prediction and mechanistic analysis of Drug-Induced Liver Injury (DILI) based on chemical structure

Exploring optical spectra of fireworks, this project employed a telescope, spectral grating, high-speed camera. Aimed at identifying elements and their environmental impacts. The experiment, set in Prague, tested measurement methods, identified challenges, and proposed future enhancements.

Comment Toxicity/Profanity Analyzer, will help help increase empathy, participation and quality in online conversation at scale using Google's perspective api

Репозиторий python-пакета "toxicity". Выявление токсичного контента в русскоязычных текстах c помощью глубокого обучения.

links related to SEND/Nonclinical toxicology

Final Project of the Data Science postgraduate class at MDCC/UFC

Implementing Simulation-guided Beam Search for text generation. Idea already proposed in Choo et al for Neural Combinatorial Optimization. In this repo, we use the technique for Controllable Text Generation.

The Toxic Comment Detection System is an AI-powered web application that identifies toxic and hate speech in real-time. It uses a fine-tuned BERT model to predict the toxicity of user-input text and displays results instantly. The system also includes a Chrome Extension that blurs out toxic comments on social media platforms such as YouTube.

🤗 Dockerized BERT-Multi-Label-Classifier Inferer 🤗