Secure Neural Network Model Watermarking
End-to-End Python framework implementing bias-adjusted LLM agents for human-like decision-making in economic games (Kitadai et al., 2025). Features persona-conditioned agent populations using Econographics data, multi-provider API integration, and Wasserstein distance validation against empirical benchmarks.
Research-grade implementation of Bidirectional ALT for shortest path problems — achieving up to 8× speedups on structured graphs with full statistical validation.
A comprehensive implementation of CBAM-STN-TPS-YOLO architecture for agricultural object detection, featuring convolutional block attention modules (CBAM), spatial transformer networks (STN), and thin plate spline (TPS) transformations. Includes cross-dataset evaluation on PGP, GlobalWheat, and MelonFlower datasets with statistical validation.
Machine learning pipeline for predicting used car prices using Kaggle’s Playground S4E9 dataset. Includes data cleaning, EDA, feature engineering, statistical analysis, and advanced regression models (LightGBM, XGBoost, CatBoost). Modular notebooks, visuals, and documentation included.
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