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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

haplophysh

🎣 Using deep learning (word level and character level embeddings combined with GRU layers) to detect Phishing using the URL

henggefish

自动化批量发送钓鱼邮件（横戈安全团队出品）

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

hne

Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

imbalance-anomaly

Evaluation of anomaly detection in imbalance authentication logs.

imdb-review-sentiment-analysis

Implemented multiple CNN-LSTM based neural networks. Achieved maximum accuracies for the network architecture which used a CNN-LSTM with combined kernels from multiple branches and other architecture that used a CNN-LSTM neural network with a residual connection. Achieved maximum accuracy of 89.39%.

insider-threat-and-anomaly-detection-from-user-activities

Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)

insider-threat-cert

insider-threat-example

Example notebook for examining insider threat

insiderthreat

insiderthreatdetection

Insider threat detection with heterogeneous graph in CERT dataset.

insiderthreatisolationforest

Insider Threat Detection using Isolation Forest

integrated-gradients

Attributing predictions made by the Inception network using the Integrated Gradients method

interactive_tools

Interactive Tools for Machine Learning, Deep Learning and Math

interpretable-machine-learning-with-python

Interpretable Machine Learning with Python, published by Packt

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

intrusion-and-anomaly-detection-with-machine-learning

Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.

itdbert

Insider threat detection via bert

kitnet-py

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

kitsune-py

A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)

knowledge-enhanced-attack-graph

AttacKG: Constructing Knowledge-enhanced Attack Graphs from Cyber Threat Intelligence Reports

koila

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

kpi-anomaly-detection

2018AIOps: The 1st match for AIOps

krystal

lac

LAC

lanl-analysis

Some analysis of the LANL data <http://csr.lanl.gov/data/cyber1/>.

lanl-auth-cybersecurity

lateral-movement-simulator

A framework for synthesizing lateral movement login data.