Fairness in ML using adversarial training.
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Updated
May 17, 2019 - Jupyter Notebook
Fairness in ML using adversarial training.
A repository that contains the files submitted for the assignment for the AE 601 course at IIST, Trivandrum
AutoSCAN es un script para esanear el rango de direcciones IP de las redes con las que tenemos conexión mediante las interfaces de red en el sistema y detectar las IP que están activas de forma automatizada. También puede indicarse manualmente la IP y se escaneará todo el rango de direcciones para detectar las activas.
Python3 script to discover diferent hosts on a /24 Network
A proof of concept for network traversal research.
A CTF for beginners
Mini Project - Concentrating on Pivoting of data tables and Data Wrangling.
highlight and open up a serverless no incoming/outgoing page to obfuscate where you're coming from, avoiding Trackers, **Some sites wont allow you in**
Brief overview of how I solved the first PWN CTF Challenge for my Ethical Penetration Testing course.
Fundamental R skills. From importing and transforming data to mastering relational data and data visualization, these challenges offer hands-on experience for a robust foundation in R.
Paraphrases for Sinhala words extracted using pivoting technique.
Linear systems' resolution using Forward and Backward Substitution Algorithms, LU factorisation with and without partial pivoting, Gauss-Seidel and Jacobi Methods
Hmumu classifiers trained to be fair w.r.t. the invariant mass.
This respository contains projects made for the Matrix Calculus and Multivatiate Statistics course at the AGH UST in 2024 by team of 2 students.
Simple script to detect active hosts and ports on the network when pivoting
SQL Basics, Pivoting, Reverse Shells, TTY Sanitization...
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