eroniko's repositories

malware-classification

Data and code for malware classification using machine learning (for fun, not production)

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Bringing-Old-Photos-Back-to-Life

Bringing Old Photo Back to Life (CVPR 2020 oral)

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cartoonizesource

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

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cartoonizesource1

A demo webapp to convert images and videos into cartoon!

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cosa-nostra

Cosa Nostra, a FOSS graph based malware clusterization toolkit.

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Crunch

Insane(ly slow but wicked good) PNG image optimization

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cryptojs-aes-php

CryptoJS 3.x AES encryption/decryption on client side with Javascript and on server side with PHP

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CSAimBot

AimBot to aim and shoot the targets in games automatically using Machine Learning.

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data-processing

Scripts to process big chunks of data from MISP and do in depth correlations on samples.

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deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

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Detection-of-Phishing-Websites-Using-Supervised-Machine-Learning-Techniques

Phishing is a website forgery with an intention to track and steal the sensitive information of online users. It is a form of identity theft, in which criminals build replicas of target websites and lure unsuspecting victims to disclose their sensitive information like passwords, PIN, etc. A huge volume of information is downloaded and uploaded constantly to the web. This gives opportunities for criminals to hack important personal information. To overcome the issues faced here, developed a phishing websites detection technique based on machine learning classifiers with a wrapper features selection method. Classification algorithms used are Artificial Neural Network, Random Forest and Support Vector Machine. Dynamic features extraction is made from the entered URL and the trained model is used for the detection of phishing URL.

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impfuzzy

Fuzzy Hash calculated from import API of PE files

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Progress-Antivirus-GUI

Progress Antivirus GUI source code

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SOREL-20M

Sophos-ReversingLabs 20 million sample dataset

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ssdc

ssdeep cluster analysis for malware files

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DigiKeyboard

Digispark's DigiKeyboard library for ArduinoDroid IDE.

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ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

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GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

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ssdc-1

ssdeep based clustering tool

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swin2sr

Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 2.5 M runs https://replicate.com/mv-lab/swin2sr

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vtoonify

[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer

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windows-security

Resources About Windows Security. 1100+ Open Source Tools. 3300+ Blog Post and Videos.

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