Biniam F. Demissie's starred repositories
CVE-llm_dataset
This is a dataset intended to train a LLM model for a completely CVE focused input and output.
screenshot-to-code
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
rengine
reNgine is an automated reconnaissance framework for web applications with a focus on highly configurable streamlined recon process via Engines, recon data correlation and organization, continuous monitoring, backed by a database, and simple yet intuitive User Interface. reNgine makes it easy for penetration testers to gather reconnaissance with minimal configuration and with the help of reNgine's correlation, it just makes recon effortless.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
awesome-embedded-fuzzing
A list of resources (papers, books, talks, frameworks, tools) for understanding fuzzing for IoT/embedded devices.
Debugging-Machine-Learning-Models-with-Python
Debugging Machine Learning Models with Python, published by Packt
public-apis
A collective list of free APIs
ThreatIntelligenceDiscordBot
Gets updates from various clearnet domains and ransomware threat actor domains
android-security-awesome
A collection of android security related resources
alpaca-lora
Instruct-tune LLaMA on consumer hardware
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
the-algorithm
Source code for Twitter's Recommendation Algorithm
steg-in-the-wild
A list of attacks or malware using steganography or information hiding
IoTDevIDv2
A Behavior-Based Device Identification Method for the IoT
fraud-bridge
ICMP and DNS tunneling via IPv4 and IPv6
network-threats-taxonomy
Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies
awesome-pcaptools
A collection of tools developed by other researchers in the Computer Science area to process network traces. All the right reserved for the original authors.
Malware-GAN
Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017