607 Open source projects that are alternatives of or similar to NIDS-Intrusion-Detection

Parallel Barnes-Hut t-SNE implementation written in Rust.

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

Python Clustering Algorithms

Support Vector Machine in Javascript

Генератор сырых дампов пользователей VK.

Easily Expandable Wireless Intrusion Detection System

A machine learning exercise, using KNN to classify deforested areas

Wazuh - Puppet module

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

Estimate dynamic high-order correlations in multivariate timeseries data

(new released v2.5 LTS.2022-06-25) It has focused on developing an All in One operating system for programming, designing and data science.Emperor-OS has over 500 apps and important tools

Search lots of data sets for spurious correlations

Yara powered NIDS with high speed packet capture powered by PF_RING

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

A header-only C++ library for k nearest neighbor search with Eigen3.

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

Collection of cheatsheets for data science, machine learning and deep learning :).

Official code for "Mean Shift for Self-Supervised Learning"

Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.

Fast k-Nearest Neighbors Classifier for Large Datasets

🎀 A data mining suite for gene expression data.

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

2017第一届腾讯社交广告高校算法大赛Rank28_code

Text Generation using Markov Chains fed by 4chan APIs

Official Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)

Loan Application Data Analysis

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Term frequency–inverse document frequency for Chinese novel/documents implemented in python.

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

本笔记是对课程CS 259D中涉及的论文和讲义的扩展，建议阅读原始论文和讲义。

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

Machine learning approach to high frequency trading, MLP & RNN used

zAnalysis是基于Pascal语言编写的大型统计学开源库

BRO/Zeek IDS content pack contains pipeline rules, a stream, a dashboard displaying interesting activity, and a syslog tcp input to capture and index BRO/Zeek logs coming from a remote sensor.

Network Embedding Survey and Resources

A light-weight, extendable, high level, universal code parser built on top of tree-sitter

Predicting Google’s stock price using regression

Centralize Management of Intrusion Detection System like Suricata Bro Ossec ...

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

Zeek IDS Dockerfile

Kernel k Nearest Neighbors in R

2018-JData-联通-基于移动网络通讯行为的风险用户识别：Baseline 0.77

ADENINE: A Data ExploratioN PipelINE

Detect x86 shellcode in files and traffic.

Digital Expression Explorer 2 (DEE2): a repository of uniformly processed RNA-seq data

Searches online paste sites for certain search terms which can indicate a possible data breach.

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

基于新浪微博数据的情感极性分析

Minimum-distortion embedding with PyTorch

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

AI based web-wrapper for web-content-extraction

Hashids implementation in Rust

R Package: Regularized Principal Component Analysis for Spatial Data

system performance characterization tool based on linux perf

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Padestrian Detection in images using HOG Vector