Aman Thanvi's repositories
amanthanvi
Config files for my GitHub profile.
2021-Malware-Detection-Classification
Malware detection is an important process in modern computing to help protect various systems from getting infected. The goal for any project, program, or system that aims to detect malware is to prevent any malicious software from running on a user’s computer. With our project, we have aimed to assist in the battle against malicious software by creating a model that can detect and label different types of programs as either malware or benign software. For this project, we used a Deep Neural Network (DNN) model. archi The architecture of our model, shown above, consists of a dense layer with relu activation, a batch normalization layer, and finally a dropout layer. As shown in the diagram, we use 10 of these layers. This project takes inspiration from the paper “Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability” created by Benjamin Marais, Tony Quertier, and Christophe Chesneau.
armstrong-number-calculator
A program that calculates if a number is an Armstrong number
BugBountyScanner
A Bash script and Docker image for Bug Bounty reconnaissance. Intended for headless use.
cmsc389T-personal-website
Aman Thanvi Project 4 - Personal Website for CMSC389T WInter 2023
docker-cargo-fuzz
docker image of rust nightly with cargo-fuzz installed
Gapur
Hi there 🖖, This is my Github README.
nfa-to-dfa
a visual NFA to DFA converter
sv-parser
SystemVerilog parser library fully compliant with IEEE 1800-2017