1050 Open source projects that are alternatives of or similar to Ee Outliers

Multi-class confusion matrix library in Python

Threat Detection & Anomaly Detection rules for popular open-source components

Collection of stats, modeling, and data science tools in Python and R.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Java dataframe and visualization library

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Pushes Sysmon Configs

📊 The statistical analysis tool for git repositories

▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.

Making it easier to build stable, trustworthy data-science pipelines.

Sysmon configuration file template with default high-quality event tracing

A collection of PowerShell modules designed for artifact gathering and reconnaisance of Windows-based endpoints.

🦊 Kitsu seasonal anime trends

Repository with Sample KQL Query examples for Threat Hunting

evtx-hunter helps to quickly spot interesting security-related activity in Windows Event Viewer (EVTX) files.

The foundational library of the Morpheus data science framework

Open-source Python library for statistical analysis of randomised control trials (A/B tests)

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

SIEM Tactics, Techiques, and Procedures

An R package for space-time anomaly detection using scan statistics.

A datasource assessment on an event level to show potential coverage or the MITRE ATT&CK framework

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

Utilities for Sysmon

Tools to rapidly deploy a threat hunting capability on Azure Sentinel that leverages Sysmon and MITRE ATT&CK

📈 Regression and Classification with UC Davis student quiz data and exam data

The repository provides usefull python scripts for ML and data analysis

Microsoft Sentinel SOC Operations

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Free Resources For Data Science created by Shubham Kumar

An open-source, low-code machine learning library in Python

Splunk code (SPL) useful for serious threat hunters.

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

vue 友盟统计埋点插件

💫 A feature complete LRU cache implementation in C++

scikit-learn compatible implementation of stability selection.

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

CDF SIG MLOps

PatrOwl - Open Source, Free and Scalable Security Operations Orchestration Platform

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

Tools for hunting for threats.

Repository for the Deep One-Class Classification ICML 2018 paper

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

Hypothesis tests for Julia

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

CIF v3 -- the fastest way to consume threat intelligence

Anomaly detection for streaming time series, featuring automated model selection.

Various teaching material

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

Oriana is a threat hunting tool that leverages a subset of Windows events to build relationships, calculate totals and run analytics. The results are presented in a Web layer to help defenders identify outliers and suspicious behavior on corporate environments.

A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning

Latent space autoregression for novelty detection.

A repository for ebooks， including C, C plus plus, Linux Kernel, Compiler, OS, Algorithm, Security, Database, Network, ML and DL

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Log Anomaly Detection - Machine learning to detect abnormal events logs

Hastic data management server for labeling patterns and anomalies in Grafana