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awesome-yara

A curated list of awesome YARA rules, tools, and people.

azazel

Azazel is a userland rootkit based off of the original LD_PRELOAD technique from Jynx rootkit. It is more robust and has additional features, and focuses heavily around anti-debugging and anti-detection.

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

botnets

This is a collection of #botnet source codes, unorganized. For EDUCATIONAL PURPOSES ONLY

build-your-own-x

🤓 Build your own (insert technology here)

c-

c_packet_sniffer

c_socket_programing_client-server_example

caffe

Caffe: a fast open framework for deep learning.

codeforces

coding-interview-university

A complete computer science study plan to become a software engineer.

computationalphysicsmsu

For weekly plans, slides etc this site contains all relevant info

configs-gitlab-docker

Configuration files for setting up GitLab on Docker, with SMTP, automatic backups & updates

cranky-data-virus

Educational virus written in Assembly that infects 32-bit ELF executables on Linux using the data segment infection method

ctf-challenges-by-me

ctpl

Modern and efficient C++ Thread Pool Library

cve-2015-1701

Win32k LPE vulnerability used in APT attack

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

datascienceresources

Open Source Data Science Resources.

debian-handbook

Dịch debian-handbook

deep-learning-for-computer-vision

Exercises from https://www.pyimagesearch.com/deep-learning-computer-vision-python-book/

deeplearningbookcode-volume1

Python/Jupyter notebooks for Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner

deeplearningbookcode-volume2

Python/Jupyter notebooks for Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner

deeplearningbookfigures-volume1

Figures from Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner

deeplearningbookfigures-volume2

Figures from Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

deeppy

Deep learning in Python

delta

PROJECT DELTA: SDN SECURITY EVALUATION FRAMEWORK

detections

This repository contains all public indicators identified by 401trg during the course of our investigations. It also includes relevant yara rules and ids signatures to detect these indicators.

deterministic_lfh

Have fun with the LowFragmentationHeap