urwithajit9
I am a learner. I like to program for anything but Cyber security & Forensic, AI & ML and Web development take me to deep diving. Python, C, C++
India
Pinned Repositories
100-days-of-code
Fork this template for the 100 days journal - to keep yourself accountable
ClaMP
A Malware classifier dataset built with header fields’ values of Portable Executable files
FAMOUS
FAMOUS is a forensic analysis tool built to triage Android applications and to assist the analyst in the selection of applications for further in-depth or manual analysis. The motivation behind FAMOUS is to overcome the limitations of the signature-based triaging forensic tool. The main functions of FAMOUS is to assign a proper class label (among benign and malware/suspicious) to every selected Android application by underlying classification engine. Each classification engine is built by training and testing different machine learning algorithms on proposed permission’s score based feature set that is extracted from a large dataset. Currently, in the proof-of-concept implementation, it has only best-performing classifier but it can be easily extended with more classifiers. Screenshots of the main window and result window of FAMOUS are attached for Understanding..
FDIA-classification
This repository will have pre-processed dataset and related scripts for building Machine learning based model for classification of False Data Injection Attack.
HG_NeuralNetwork
Python code for Hacker's guide to Neural Networks - Andrej Karpathy blog
huggingface-demo-mlops-coursera
learning-rust
This repo has example code from leanring rust from MLops coursera .
MLOps-pytest-coursera
Learning codespace and Pytest under coursera MLOps course
MLops-template-coursera
This is a template taken from MLops class from coursera
Practical-Machine-Learning-With-Python
Machine Learning Tutorials in Python
urwithajit9's Repositories
urwithajit9/HG_NeuralNetwork
Python code for Hacker's guide to Neural Networks - Andrej Karpathy blog
urwithajit9/Practical-Machine-Learning-With-Python
Machine Learning Tutorials in Python
urwithajit9/python-magic
A python wrapper for libmagic
urwithajit9/voting
Class example
urwithajit9/389Rspring18
CMSC389R course at UMD
urwithajit9/Android-Permission-Extraction-and-Dataset-Creation-with-Python
urwithajit9/ASTORIA
ASTORIA is a framework developed to allow the simulation of attacks and the evaluation of their impact on Smart Grid infrastructures.
urwithajit9/az
Downloads apks from androzoo repository https://androzoo.uni.lu/
urwithajit9/caldera
Automated Adversary Emulation
urwithajit9/fleep-go
File format determination package for Go
urwithajit9/fleep-py
File format determination library for Python
urwithajit9/fsociety
fsociety Hacking Tools Pack – A Penetration Testing Framework
urwithajit9/imageDirDjango
A image directory creating during learning Django
urwithajit9/Malware-3
IoT Security Reading List
urwithajit9/malware_challenge
Code repo for the Malware Challenge (AdvML@KDD'19)
urwithajit9/malware_evasion_competition
urwithajit9/mitm
A simple yet effective python3 script to perform DNS spoofing via ARP poisoning
urwithajit9/ml-cybersecuritiy-course
Machine Learning applied to Cyber Security Course
urwithajit9/mosaik-cosim
Mosaik co-simulation scenario for local-based traffic monitoring
urwithajit9/NA4-SummerSchool-DTU-2018
urwithajit9/notes_on_data_science_machine_learning_and_artificial_intelligence
A site and book project on using data science techniques for political and social phenomena.
urwithajit9/PEpper
An open source script to perform malware static analysis on Portable Executable
urwithajit9/profile
Personnel pages.
urwithajit9/PROJECT-ON-PASSWORD-CRACKING-TOOL
urwithajit9/python-flask-sklearn-docker-template
A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker
urwithajit9/python-goose
Html Content / Article Extractor, web scrapping lib in Python
urwithajit9/scalpel
Scalpel is an open source data carving tool.
urwithajit9/scrub
disk overwrite utility
urwithajit9/tdsr
A console screen reader for macOS and Linux
urwithajit9/urwithajit9.github.io
Web page for personnel info.