khamar-uz-zama Goto Github PK

abstract-art-generator

A python program that generates abstract art with variety of shapes, styles and randomization using pygame.

abstract-art-neural-network

Generating abstract art through neural networks in PyTorch

asteroid-diameter-prediction

atiml-semester-assignment

attack-flow

Attack Flow helps executives, SOC managers, and defenders easily understand how attackers compose ATT&CK techniques into attacks by developing a representation of attack flows, modeling attack flows for a small corpus of incidents, and creating visualization tools to display attack flows.

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

behavioral-cloning

chaos

Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video

christmais

Text to abstract art generation for the holidays!

cnn-image-classifier

Basic image classifier

cyclegan_forest_abstract_art_duke_zm

This is the code corresponding to my Duke AI for Art Competition submission.

data-science-with-r

decision-tree

Implementing Decision Tree from scratch with basic packages like numpy, pandas for calculations.

fractal

Fractals written in Python

fractal-1

Draw fractal image by python.

fractal-artist

A python program to draw fractals

hands-on-machine-learning-for-cyber-security

Hands-On Machine Learning for Cybersecurity, published by Packt

intro2deeplearning

linearregression

Batch linear regression using gradient descent

link-prediction

Large Scale Supervised Link Prediction using Graphx and SparkML

machine-learning-for-cyber-security

Machine Learning for Cyber Security

master-thesis

Heartbeat Driven Dynamical Liver Movement Analysis: Feasibility of a fibrosis staging method

monte-carlo-tree-search

Implementing Monte Carlo Tree Search for the game Shogi

mutate-text

phishing-website-detection

It is a project of detecting phishing websites which are main cause of cyber security attacks. It is done using Machine learning with Python

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

supervised_link_prediction_using_spark_and_neo4j

A project which involves analyisis of Authorship graph data from Microsoft academic graph. In this project we calculate different graph features using temporal parameters of the authors and tried different classifiers. The final aim is to predict the link or coauthorsip possibility between two authors based on topological graph features

ufz

UFZ processing