urwithajit9

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/ClaMP

A Malware classifier dataset built with header fields’ values of Portable Executable files

urwithajit9/100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable

urwithajit9/aboutcode

AboutCode project: tools and data to uncover things about code: the provenance, origin, license, and more (packages, security, quality, etc.) of FOSS code

urwithajit9/adversarial-attacks-and-defenses-for-windows-pe-malware-detection

A curated resource list of adversarial attacks and defenses for Windows PE malware detection.

urwithajit9/Android-learning

This repo has code from my android learning

urwithajit9/augment

This is for augment work.

urwithajit9/Calculator

urwithajit9/clearml

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

urwithajit9/EvadeML

An evolutionary framework for evading machine learning-based malware classifiers.

urwithajit9/Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

urwithajit9/firmware

urwithajit9/learning-malware-analysis

This repository contains sample programs that mimick behavior found in real-world malware. The goal is to provide source code that can be compiled and used for learning purposes, without having to worry about handling live malware.

urwithajit9/Malware-IOCs

urwithajit9/msticpy

Microsoft Threat Intelligence Security Tools

urwithajit9/OpenMF

An Open Source Mobile Forensics Investigation Tool for Android Platform

urwithajit9/openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™

urwithajit9/oppia

A free, online learning platform to make quality education accessible for all.

urwithajit9/osv

Open source vulnerability DB and triage service.

urwithajit9/PACFL

Official Code for PACFL AAAI 2023

urwithajit9/pdfclassifier

On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542

urwithajit9/PDFMalLyzer

urwithajit9/pigeon

🐦 Quickly annotate data from the comfort of your Jupyter notebook

urwithajit9/pycascades2022

PyCascades demo content

urwithajit9/pytorch-fastapi-aws-apprunner

Example application of using Pytorch with fastapi and AWS App Runner

urwithajit9/source-inference-FL

urwithajit9/StratosphereLinuxIPS

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

urwithajit9/subparse

Modular malware analysis artifact collection and correlation framework

urwithajit9/tram

TRAM is an open-source platform designed to advance research into automating the mapping of cyber threat intelligence reports to MITRE ATT&CK®.

urwithajit9/ud839_Miwok

urwithajit9/vulnerablecode

A work-in-progress towards a free and open vulnerabilities database and the packages they impact. And the tools to aggregate and correlate these vulnerabilities. Sponsored by NLnet https://nlnet.nl/project/vulnerabilitydatabase/ for https://www.aboutcode.org/ Chat at https://gitter.im/aboutcode-org/vulnerablecode Docs at https://vulnerablecode.readthedocs.org/