Ağ tarayıcı.Gönderdiği paketler ile ağa bağlı olan cihazların IP adreslerini gösterir.

Last update: Aug 23, 2021

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Overview

NetScanner.py

Ağ tarayıcı.Gönderdiği paketler ile ağa bağlı olan cihazların IP adreslerini gösterir.

Linux'da Kullanımı:

git clone https://github.com/Melisawq/NetScanner.py.git
cd NetScanner/
python3 Netscanner.py

Windows'da Kullanımı:

NetScanner.py'yi .zip olarak indirin ve Unzip edin.
Cmd'yi Yönetici Olarak Çalıştırın.
Cmd'de "cd" komutuyla NetScanner.py'nin bulunduğu konuma gidin.
Gittikten sonra şu komutu girin:python NetScanner.py
bunu yapmak için bilgisayarınızda python olması gerekir.

Denendiği İşletim Sistemleri:

*Parrot OS

Windows 10

Windows 7

Kali Linux

Debian

ArchLinux

BlackArch

Deepin

PNM OS*

#OpenSource #Apache

Owner

GitHub Repository

DeepStruc is a Conditional Variational Autoencoder which can predict the mono-metallic nanoparticle from a Pair Distribution Function.

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we propose EfficientDerain for high-efficiency single-image deraining

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[ECCV 2020] Gradient-Induced Co-Saliency Detection

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An implementation of "Learning human behaviors from motion capture by adversarial imitation"

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Ağ tarayıcı.Gönderdiği paketler ile ağa bağlı olan cihazların IP adreslerini gösterir.

Related tags

Overview

NetScanner.py

Owner

DeepStruc is a Conditional Variational Autoencoder which can predict the mono-metallic nanoparticle from a Pair Distribution Function.

Music Source Separation; Train & Eval & Inference piplines and pretrained models we used for 2021 ISMIR MDX Challenge.

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

A TikTok-like recommender system for GitHub repositories based on Gorse

Official implementation of deep-multi-trajectory-based single object tracking (IEEE T-CSVT 2021).

Wider-Yolo Kütüphanesi ile Yüz Tespit Uygulamanı Yap

we propose EfficientDerain for high-efficiency single-image deraining

Invertible conditional GANs for image editing

[ECCV 2020] Gradient-Induced Co-Saliency Detection

Official PyTorch Implementation of Learning Architectures for Binary Networks

An implementation of "Learning human behaviors from motion capture by adversarial imitation"

AFLFast (extends AFL with Power Schedules)

Automated Attendance Project Using Face Recognition

Readings for "A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction."

Pytorch implementation of XRD spectral identification from COD database

Pytorch Implementation of LNSNet for Superpixel Segmentation

Deep learning model for EEG artifact removal

Codebase for arXiv preprint "NeRF++: Analyzing and Improving Neural Radiance Fields"

Materials for my scikit-learn tutorial

Exact Pareto Optimal solutions for preference based Multi-Objective Optimization