A collection of static files maintained by the Sublime team, primarily used for phishing defense.

Curated Multimaps and Rules for Rspamd

Protect your website from bots with Prosopo Procaptcha

Mailfilter based on Rspamd and ClamAV - Home Assistant Add-on by Erik73

OOPSpam project website

Projects on Neural Networks for Mail Spam Detection - Cognitive Computing Systems (MEng), supervised by Prof. P. Maresca (2024)

Custom SpamAssassin rules I and others have made and contributed with - To mitigate spam mails and phishing mails now also with cool Phishtank rules

GDPR compliant, self-hosted CAPTCHA alternative. Now with API and a Spam Filter!

BCA 6th Sem : Network Programming [ Mini Project ]

Caterpillar Proxy - The simple and parasitic web proxy with SPAM filter (formerly, php-httpproxy)

Spam Email Detector using Naive Bayes, C4.5 Decision Tree, and K Nearest Neighbor algorithms. We found Naive Bayes to be the most accurate at classifying spam.

This repository is related to all about Machine Learning, Deep Learning, Computer Vision, NLP, and Research Projects

Leverage classification models in Natural Language Processing (NLP) for two prevalent ML applications: Sentiment Classification and Spam Detection

Email summarizer project for the GenAI hackathon organzied by the Peerlist

This repository contains a machine learning project for email spam detection. It includes data preprocessing, model training, evaluation, and deployment using Python and scikit-learn.

SpamShield is a Flask-based web application that employs machine learning to swiftly identify and flag spam content in emails and text messages, offering users real-time protection against unwanted solicitations. With an intuitive interface and privacy-conscious design, SpamShield ensures efficient spam detection while safeguarding user privacy

Anti Spam/NSFW Telegram Bot Written In Python With Pyrogram.

An NLP based APP includes features for spam detection, sentiment analysis, stress detection, hate and offensive content detection, and sarcasm detection. It leverages Natural Language Processing (NLP) techniques and machine learning models to analyze and classify text inputs. Table of Contents

AI project for classifying emails as spam or not spam

The modern spam protection. Protects your forms from spam by simply checking the content. Open source, Free to use, Accessible, and Self-Hosted.