🗣️ Tool to generate adversarial text examples and test machine learning models against them

Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs, and @lassjs.

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Anti-Spam bot for Telegram and anti-spam library

Large Collection of Extensions and AspNetCore projects for ML.NET models and integration

Asynchronous Python Wrapper For A.R.Q API.

A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

Spam filtering module with Machine Learning using SVM (Support Vector Machines).

Detects cyber threats to the end user with machine learning. This tool can do malware analysis of given exe file, spam analysis of given url and mail.

Quick Hands-On NLTK tutorial for NLP in Python. NLTK is one of the most popular Python packages for Natural Language Processing (NLP). Easy to Start for Anyone.

This is about spam classification using HMM model in python language

Group Guardian is a Telegram bot for admins to maintain a safe community.

A simple bayesian spam classifier written in Rust.

Spam Filtering Techniques for Short Message Service

🚧 🚀 Spam Database and Classifiers for automated usage 🚧

An Android Project to demonstrate the use of a TensorFlow Lite model to classify spam messages.

Official resource of the paper "Traditional and Context-Specific Spam Detection in Low Resource Settings", Machine Learning Journal 2022