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

Implements a machine learning-based SMS spam detection system. It classifies incoming text messages as Spam or Ham (Not Spam) using Natural Language Processing (NLP) techniques and supervised learning algorithms.

Asynchronous Python Wrapper For A.R.Q API.

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.

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

This is about spam classification using HMM model in python language

使用trec06c数据集，通过jieba分词，word2vec训练词向量，搭建CNN进行垃圾邮件检测

中文垃圾评论分类

Simple user-friendly webpage for spam classification of email and sms texts using a fine-tuned BERT base model (cased)

A TensorFlow Project which detects spam messages and uses this capability in Android apps.

Streamlined, object-oriented and fully customizable Python spam filter library.

Companion to Kopano Core kopano-spamd, process spam written to /var/lib/kopano/spamd/spam

Kaggle Aivle School 4th MiniProject 스팸메일 분류

Spam classifier to test and train basic spam and ham emails using Naive Bayes Technique

implementation of spam classification using python

A Python client for SpamHunter API to check messages for spam probability.

Using lexical features of a URL to classify it as malicious or not using Random Forest