mieitza

Deep-Learning-based-Spam-Filter

We will create the email spam filter model using deep learning and evaluate the model with other currently popular machine learning methods like xgboost, random forest, svm .

kymera

Kymera Project

supplychainpy

Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

mieitza/Deep-Learning-based-Spam-Filter

We will create the email spam filter model using deep learning and evaluate the model with other currently popular machine learning methods like xgboost, random forest, svm .

mieitza/supplychainpy

Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

mieitza/anomaly_detection

mieitza/AnomalyDetection

Twitter's Anomaly Detection in Pure Python

mieitza/beesly

a PAM authentication microservice

mieitza/capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

mieitza/chipsec

Platform Security Assessment Framework

mieitza/cnn-spam-review-detection-tf

Deceptive Spam Review Detection with Convolutional Neural Network in Tensorflow

mieitza/create-react-app

Create React apps with no build configuration.

mieitza/DeepLearningForNLPInPytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

mieitza/DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

mieitza/delbot

It understands your voice commands, searches news and knowledge sources, and summarizes and reads out content to you.

mieitza/DetectLM

Detecting Lateral Movement with Machine Learning

mieitza/diabetic-retinopathy-screening

Diabetic retinopathy screening w/ Tensorflow.

mieitza/email_spam_filter

This model mainly uses deep neural network to train and classify between spam and ham messages and compare them with SVM and random forest.

mieitza/Intro_to_ML-FutureLabs

ML primer workshop @ Future Labs AI Summit

mieitza/Legion

Distributed computing environment that can be used for both academic and pen testing purposes.

mieitza/lstm-anomaly-detect

Example code for neural-network-based anomaly detection of time-series data (uses LSTM)

mieitza/models

Models and examples built with TensorFlow

mieitza/netgrph

Models IP networks in the Neo4j Graph Database for network automation and troubleshooting.

mieitza/NewsRecommendationSystem

mieitza/pytorch-examples

Simple examples to introduce PyTorch

mieitza/quickinstall

A Shell Script To Take Care Of Ubuntu Basics

mieitza/RootKits-List-Download

This is the list of all rootkits found so far on github and othersites.

mieitza/routersploit

The Router Exploitation Framework

mieitza/salt-scanner

Linux vulnerability scanner based on Salt Open and Vulners audit API, with Slack notifications and JIRA integration

mieitza/Snakepit

A scalable framework for binary analysis in a containered environment.

mieitza/Spam-detection-1

Email Spam-detection is an ANN app with TensorFlow. The idea is simple - given an email you’ve never seen before, determine whether or not that email is Spam

mieitza/the-art-of-command-line

Master the command line, in one page

mieitza/word2vec

Word2Vec in Python, using Tensorflow.