Aditya’s Projects Showcase

Aditya’s Ravage Ecosystem

Penetration Testing Tools

• Moonwalk-back: Moonwalk-back is a penetration testing tool designed to leave zero traces on system logs, ensuring discreet testing activities.
  • GitHub Repository: Moonwalk-back
  • Stars:

Post-Exploitation Techniques

• Rusty-arsenal: Rusty-arsenal leverages Rust programming language for post-exploitation techniques and process injection, providing robust security solutions.
  • GitHub Repository: Rusty-arsenal
  • Stars:

Aditya’s ML Ecosystem

Quantitative Finance

• Quantitative Finance with Backtesting Strategies: This project focuses on implementing elegant and classic strategies for quantitative finance, facilitating reliable backtesting of trading strategies.
  • GitHub Repository: Quantitative Finance Backtesting
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Virtual Try-On

• Virtual Try-On of Clothes: Utilizing convolutional neural networks and recurrent neural networks, this project enables virtual try-on of clothes, enhancing the online shopping experience.
  • GitHub Repository: Virtual Try-On
  • Stars:

Breast cancer detection using Image Processing different Approaches

• Image Processing with Various Approaches: Employing multiple techniques such as image processing and classifiers, this project aims to solve various image-related tasks.
  • GitHub Repository: Breast-Cancer-Predictions
  • Stars:

Reinforcement Learning

• Reinforcement Learning based on Stock Trading: Using a DRQN model, this project applies reinforcement learning techniques to stock trading, aiming for optimized trading decisions.
  • GitHub Repository: Stock Trading using RL
  • Stars: