🗣️ Tool to generate adversarial text examples and test machine learning models against them
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Updated
Jan 7, 2022 - Python
🗣️ Tool to generate adversarial text examples and test machine learning models against them
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.
This is about spam classification using HMM model in python language
Group Guardian is a Telegram bot for admins to maintain a safe community.
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
Spam classifier to test and train basic spam and ham emails using Naive Bayes Technique
Companion to Kopano Core kopano-spamd, process spam written to /var/lib/kopano/spamd/spam
A TensorFlow Project which detects spam messages and uses this capability in Android apps.
Simple user-friendly webpage for spam classification of email and sms texts using a fine-tuned BERT base model (cased)
Streamlined, object-oriented and fully customizable python spam filter library.
implementation of spam classification using python
Kaggle Aivle School 4th MiniProject 스팸메일 분류
This is a system that takes an email and classifies if it is spam or not.
Use Naive bayes to predict if the email/message is spam
✨ spam detection using Bayesian Learning and Ensemble Learning. This repository implements Bayesian Learning from scratch
Image Spam Buster - Hackathon submission for Mall91
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