🗣️ 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.
Classic ML starter project to classify messages from a sms dataset into spam and ham
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.
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.
This repository consists of source code for various projects relating to Big Data
This is about spam classification using HMM model in python language
Spam classifier to test and train basic spam and ham emails using Naive Bayes Technique
An api which predicts if a text is spam or not from a model which is trained using LSTM, a special kind of recurrent neural network.
This is a simple implementation of a Spam Detector using Python Programming Language
A visual tool for classification tasks.
✨ spam detection using Bayesian Learning and Ensemble Learning. This repository implements Bayesian Learning from scratch
Classification API of spam emails using Python on the Spambase Data Set
A basic spam filter using naive Bayes classification. Written in python 2.7
spam classification using logistic regression
Image Spam Buster - Hackathon submission for Mall91
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