rahulroshanganesh
Final year Computer Science student at PES University (RR campus) Bangalore, Karnataka.
Bangalore
rahulroshanganesh's Stars
kieranholland/best-python-cheat-sheet
The *Best Python Cheat Sheet - A dense Python cheat sheet with just what you need.
paulveillard/cybersecurity-application-security
An ongoing & curated collection of awesome software practices and remediation, libraries and frameworks,payloads and techniques, best guidelines and technical resources about Application Security
paulveillard/cybersecurity-ssrf
An ongoing & curated collection of awesome web vulnerability - Server-side request forgery software practices and remediation, libraries and frameworks, best guidelines and technical resources about SSRF
Da2dalus/The-MALWARE-Repo
A repository full of malware samples.
brad-sp/cuckoo-modified
Modified edition of cuckoo
keithjjones/cuckoo-modified-api
A Python library to interface with a cuckoo-modified instance
adanalvarez/AWS-malware-lab
Creation of a laboratory for malware analysis in AWS
0xc1r3ng/Malware-Sandboxes-Malware-Source
Malware Sandboxes & Malware Source
PatrikH0lop/malware_showcase
Understand the nature of malicious software with practical examples in Python.
rubiruchi/Insider-Threat-and-Anomaly-Detection-from-User-Activities
Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)
jivoi/awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
tuhinsharma121/federated-ml
Detect anomalies in network traffic data using Federated Machine Learning technique.
imfaisalmalik/CTU13-CSV-Dataset
CTU13 CSV Dataset contains Botnet, Normal and Background traffic
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
sampathv95/Network-Intrusion-Detection
Autoencoder approach to detect attacks/intrusions in a network
abhinav-bhardwaj/Network-Intrusion-Detection-Using-Machine-Learning
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
r7sy/IntrusionDetection
This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the study will be available shortly.
verazuo/a-labelled-version-of-the-ADFA-LD-dataset
a labelled version of the ADFA-LD dataset for HIDS evaluation
prithvi10/Intrusion-Detection-System
An IDS using neural networks Back-propogation algorithm
Rifat392000/DarkTriadDetection
apsdehal/awesome-ctf
A curated list of CTF frameworks, libraries, resources and softwares
Pulho/sigBits
Steganography significant bits image decoder. Can help you out with some CTF
teamstealthsec/wordlists
Compilation of useful wordlists
W3rni0/NahamCon_CTF_2020
Writeup for the challenges in NahamCon CTF 2020
90N45-d3v/dBmonster
A Multitool For Tracking And Locating Nearby Devices Via Their RF Activities.
nainiayoub/emotion-classifier-web-app
Logistic regression, text emotion classifier web application (with Streamlit), from data preprocession to model productionizing and deployment on Streamlit share.
prateekralhan/Streamlit-based-Deep-Emotion-Detector
A simple streamlit based webapp to process text and detect emotions from the underlying text piece built using "EmoRoBERTa" Model from Huggingface Transformers 🤗.
dinbav/LeXmo
A python package for classifying emotion
CyberMaryVer/speech-emotion-webapp
Speech Emotion Recognition
SannketNikam/Emotion-Detection-in-Text
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it. This app has more than 400 visitors!