838 Open source projects that are alternatives of or similar to Networkml

A Zeek Network Security Monitor tutorial that will cover the basics of creating a Zeek instance on your network in addition to all of the necessary hardware and setup and finally provide some examples of how you can use the power of Zeek to have absolute control over your network.

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Service identification on ciphered traffic.

The repository provides usefull python scripts for ML and data analysis

OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.

Merge multiple pcap files together, gracefully.

Network Analysis Tool

Network Tools

Daggy - Data Aggregation Utility. Open source, free, cross-platform, server-less, useful utility for remote or local data aggregation and streaming

Machine Learning Concepts with Concepts

Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device.

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A platform built for easy-to-use automated network traffic analysis

NFStream: a Flexible Network Data Analysis Framework.

Potiron - Normalize, Index and Visualize Network Capture

Makine Öğrenmesi Türkçe Kaynak

pcapdj - dispatch pcap files

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Scapy: the Python-based interactive packet manipulation program & library. Supports Python 2 & Python 3.

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

work in progress

GG.Net Data Visualization

Data-centric declarative deep learning framework

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

A C#/.NET SDK for accessing the OpenAI GPT-3 API

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

❄️ PcapXray - A Network Forensics Tool - To visualize a Packet Capture offline as a Network Diagram including device identification, highlight important communication and file extraction

SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Network Discovery and Management Toolkit

netdiffuseR: Analysis of Diffusion and Contagion Processes on Networks

Python toolkit for pluggable algorithms and data structures for multimedia-based machine learning.

AppSpector is a debugging service for mobile apps

A ping like utility for tcp services

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Network Analysis for Financial Markets

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Multi-class confusion matrix library in Python

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

Malcom - Malware Communications Analyzer

Evolutionary Algorithms Framework

Packages and utilities for network booting

A curated list of repositories for my book Machine Learning Solutions.

Information about my experiences on ethical hacking 💀

Learn advanced data science on real-life, curated problems

Net2PCAP is a simple network-to-pcap capture file for Linux. Its goal is to be as simple as possible to be used in hostile environments

Extract audio file from RTP streams in pcap format

Automated Penetration Testing Framework

SST Architectural Simulation Components and Libraries

Tools, libraries and applications to analyze network measurements and detect interference.

A repository demonstrating all that's new in Android 11 for ML and how you could try it out for your own use-cases

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

A collection of notebooks of my Machine Learning class written in python 3

A functional language frontend for the Dart VM.

потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова