purbayan2014 Goto Github PK

ad-classification-model

Adverstiment classfication model created using IBM Watson ML Assets which has been deployed on Heroku

adafruit_circuitpython_bundle

A bundle of useful CircuitPython libraries ready to use from the filesystem.

advphishing

This is Advance Phishing Tool ! OTP PHISHING

algorthm--for-networking-

apk-embedder

rb script

audio-emotion-recognition-using-neural-network

avinal

Be my SpaceTime

awesome-osint

:scream: A curated list of amazingly awesome OSINT

awesome-web-hacking

A list of web application security

beef

The Browser Exploitation Framework Project

bento

🍱 The minimalist, elegant and hackable startpage.

blackeye-im

Ultimate phishing tool powered with ngrok and serveo.net

bookmarks

brutesploit

BruteSploit is a collection of method for automated Generate, Bruteforce and Manipulation wordlist with interactive shell. That can be used during a penetration test to enumerate and maybe can be used in CTF for manipulation,combine,transform and permutation some words or file text :p

calib_challenge

The comma.ai Calibration Challenge!

chatter

crypto

Elliptic Curve Cryptography and Common Public Key Cryptography Implementations

ctf_markdowns

datasploit

An #OSINT Framework to perform various recon techniques on Companies, People, Phone Number, Bitcoin Addresses, etc., aggregate all the raw data, and give data in multiple formats.

deeplearningexamples

Deep Learning Examples

discover

Custom bash scripts used to automate various penetration testing tasks including recon, scanning, parsing, and creating malicious payloads and listeners with Metasploit.

django-phishing-predictor

Phishing Prediction Web app based on ML which has been developed using django and deployed on heroku.

dotfiles

:cherry_blossom: Aesthetic OpenboxWM Environment

dotfiles-linux

Theres no place like $HOME

emotion-classifier-aec-cnn

AER is the task of recognizing the emotional aspects of speech irrespective of the semantic contents.In this project we have built a deep learning model that is trained on emotion detection or better yet emotion classification using audio data . We have an extract feature function which is using some other functions to extract information from the audio file . We had used the MLP Classifier which stands for Multi layer Perceptron Classifier. We then have prepared our very own websited using Django and then hosted it on AWS and heroku .

everythingcrypto

(Still exploring) My cryptography journey: A collection of notebooks covering different algorithms and concepts from cryptography

exp-res

Resources for learning about Exploit Development

fake-news-detection-with-azure

foo-wallpaper-feh-gif

just a loop who set wallpaper for display gif, support transparency

fork-bomb

Fork bombs in lots of languages