pabla007 Goto Github PK

-60_days_of_code

breach-parse

A tool for parsing breached passwords

capsule_net_pytorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

cybersecurity-interview-prep

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dermatologist-ai

Deep learning model to diagnose melanoma. It distinguishes this malignant skin tumor from two types of benign lesions: Nevus and Keratoses.

fury

Anger is a path to the dark side but also a wake up call. Free unified rendering in Python.

helloworld

This is my first repository on github

htb-journey

All the SS and notes related to HTB will be updated here.

intro-to-cybersecurity

This repo contains all the projects related to this nanodegree

learn-git

linearmodels

Linear models including instrumental variable estimators and panel data models

machine-learning

Content for Udacity's Machine Learning curriculum

opencv

Open Source Computer Vision Library

osint

This repo contains all the notes and resources for the OSINT technique

pabla007

peh-course

All the notes of the PEH course has been dumped here by me.

pimpmykali

Kali Linux Fixes for Newly Imported VM's

portfolio-project

practical-ethical-hacking-resources

Compilation of Resources from TCM's Practical Ethical Hacking Udemy Course

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

resume-version-2.0

This repo contains the Resume with the latest info till date.

sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

sansosintsummit2023

List of links and resources referred to in my SANS OSINT Summit 2023 Talk: "Tips & Tricks For Digital Dumpster Diving"

starkit

tool to analyse stellar spectra

statsmodels

Statsmodels: statistical modeling and econometrics in Python

tardis

TARDIS - Temperature And Radiative Diffusion In Supernovae

udacity-ai

udacity-deep-learning-nanodegree

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

udacity-nanodegree

Udacity Nano-degree Journey.