R4GB0Y
I am a math enthusiast who enjoys problem-solving and coding algos. Proficient in Python, my focus lies in becoming a data scientist specializing in AI security
Pinned Repositories
Analyzing-Casablanca-s-stock-exchange-data-project
Collaborated on a project analyzing Casablanca Stock Exchange data, utilizing web scraping, statistical analysis, and code optimization with Cython
Finite-Differences-for-the-Wave-Equation
Finite differences is a numerical method approximating solutions to partial differential equations by dividing the domain into a grid, computing the difference between adjacent points to approximate derivatives. It's often used in physics and engineering for solving wave equations in acoustic and electromagnetic fields.
Building-a-deep-neural-network-from-scratch
Building deep neural networks from scratch. Learn the fundamentals of neural networks and implement them for various tasks.
Evaluating_Adversarial_Attacks_BotNet_Detectors
This repo implements and reviews "Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors" by Apruzzese, Colajanni, and Marchetti. We replicate the ML techniques used to test 4 datasets and provide a detailed analysis of the results. Our review highlights limitations and invites feedback to improve the work.
Machine-Learning-
Welcome to my machine learning repository! Here you'll find my latest work in AI & data science. Explore, fork, and contribute to enhance your skills too!
Preprocessing-Data-for-Intrusion-Detection-AI-Models-in-OT
Stochastic-Optimization
Stochastic optimization is a powerful technique used to solve optimization problems that involve uncertainty or randomness. In many real-life scenarios, such as in operational research, there are often multiple factors that affect the outcome of a decision, and many of these factors are uncertain or random.
TabSurvey
Experiments on Tabular Data Models
1337-Piscine-42
June Piscine 2021 from 1337 Benguerir 42 Network.
Adversarial-Attacks-
R4GB0Y's Repositories
R4GB0Y/Preprocessing-Data-for-Intrusion-Detection-AI-Models-in-OT
R4GB0Y/TabSurvey
Experiments on Tabular Data Models
R4GB0Y/Adversarial-Attacks-
R4GB0Y/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
R4GB0Y/Model-Deployment
R4GB0Y/Amazon-Sagemaker
R4GB0Y/EXAM-MLOPS
R4GB0Y/Unveiling-Performance-Trends-in-Computer-Hardware-Using-ARIMA-Modeling
Computer Hardware Time Series Analysis
R4GB0Y/Decision-Based-Attacks-Boundary-Attack
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
R4GB0Y/1337-Piscine-42
June Piscine 2021 from 1337 Benguerir 42 Network.
R4GB0Y/FASTAPI
Labs for FastAPI
R4GB0Y/MLOPS
This GitHub repository contains a Flask web application that uses a trained Support Vector Machine (SVM) model to predict the type of glass based on its refractive index (RI), sodium oxide content (Na), aluminum oxide content (Al), and calcium oxide content (Ca) using a simple HTML form.
R4GB0Y/Design-of-a-Facial-Recognition-System-Based-on-Deep-Learning-Model-Siamese-Neural-Network
Design of a Facial Recognition System Based on Deep Learning Model : Siamese Neural Network
R4GB0Y/Building-a-deep-neural-network-from-scratch
Building deep neural networks from scratch. Learn the fundamentals of neural networks and implement them for various tasks.
R4GB0Y/Web_Mining
R4GB0Y/insightface
State-of-the-art 2D and 3D Face Analysis Project
R4GB0Y/face_recognition
The world's simplest facial recognition api for Python and the command line
R4GB0Y/Evaluating_Adversarial_Attacks_BotNet_Detectors
This repo implements and reviews "Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors" by Apruzzese, Colajanni, and Marchetti. We replicate the ML techniques used to test 4 datasets and provide a detailed analysis of the results. Our review highlights limitations and invites feedback to improve the work.
R4GB0Y/Numerical-Linear-Algebra-Parallel-Computing
Numerical Linear Algebra & Parallel Computing
R4GB0Y/Finite-Differences-for-the-Wave-Equation
Finite differences is a numerical method approximating solutions to partial differential equations by dividing the domain into a grid, computing the difference between adjacent points to approximate derivatives. It's often used in physics and engineering for solving wave equations in acoustic and electromagnetic fields.
R4GB0Y/Machine-Learning-
Welcome to my machine learning repository! Here you'll find my latest work in AI & data science. Explore, fork, and contribute to enhance your skills too!
R4GB0Y/Stochastic-Optimization
Stochastic optimization is a powerful technique used to solve optimization problems that involve uncertainty or randomness. In many real-life scenarios, such as in operational research, there are often multiple factors that affect the outcome of a decision, and many of these factors are uncertain or random.
R4GB0Y/bootcamp_python
Bootcamp to learn Python for Machine Learning
R4GB0Y/TASO_DNN_2_Graph_Opt
The Tensor Algebra SuperOptimizer for Deep Learning
R4GB0Y/Analyzing-Casablanca-s-stock-exchange-data-project
Collaborated on a project analyzing Casablanca Stock Exchange data, utilizing web scraping, statistical analysis, and code optimization with Cython
R4GB0Y/M111-Advanced-Python-and-Database-Management
Advanced Python Programming & Database Management
R4GB0Y/bootcamp_machine-learning
Bootcamp to learn basics in Machine Learning
R4GB0Y/Piscine42
📂📄 Piscine 42 - Les sujets de ma piscine à 42 (Juillet 2022) ainsi que les réponses et videos d'aide.
R4GB0Y/python-bootcamp
An accelerated python course for absolute beginners