Optimal Sparse Decision Trees
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Code for paper "Dynamic Deep Neural Network Inference via Adaptive Channel Skipping"
Wine Quality Classification Using Deep Learning
SchedMaster lies in its hybrid approach - combining classical scheduling algorithms with optimization techniques like Greedy Algorithms, Dynamic Programming, and Backtracking. Additionally, it leverages simple ML models to predict process behavior, detect anomalies in resource usage, and recommend the most suitable scheduling strategies.
Python project implementing Nearest Neighbor and Skyline Query Search algorithms with R-tree data structures for efficient spatial indexing. Part of COMP6210 group project at Macquarie University.
A Python-based security audit simulation that performs high-speed cross-referencing of raw log data against a blacklist. Utilizes advanced Regex for pattern extraction and Hash Sets for O(1) lookup performance. Includes synthetic data generation.
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This project implements a specialized graph-based text analysis tool that creates paths between words and phrases based on their lengths. The algorithm can find word patterns in texts while handling inflected forms of words (particularly important for agglutinative languages like Hungarian).
EcoLogic is a local Streamlit toolkit for generating and evaluating algorithmic refactors across single files or full codebases. It predicts energy use with feature-based ML, profiles Python/C++/.NET/Java workloads, delivers optimized code with SHAP-powered explainability, and creates shareable PDF certificates for auditable, interpretable results.
Vehicle detection and tracking system using YOLOv8
Topology-aware dynamic connectivity system for large-scale networks with O(1) fast-path operations and cache-optimized design.
High-performance cellular automaton simulation with 50-200x speed improvements. Features NumPy vectorization, real-time PyGame visualization, and professional debugging tools. Perfect for algorithm research and education.
Specialized Deep Learning model for identifying and prioritizing emergency vehicles in complex urban environments
Autonomous algorithm optimization research - 19x speedup achieved through self-driven iterations
Lightweight Python library for implementing Fuzzy Logic controllers in autonomous systems
Automated simulation & optimization engine for discovering optimal Factorio conveyor belt layouts.
High-Performance O(1) / O(log N) Algebraic Loop Acceleration & Exact Rational Recurrence Engine for Python and C
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