A comprehensive toolkit for developing and benchmarking compression algorithms specifically designed for neural data streams in brain-computer interfaces (BCIs). This project provides efficient, real-time compression solutions that preserve the critical characteristics

This project demonstrates a comprehensive machine learning pipeline with examples of supervised, unsupervised, and semi-supervised learning approaches. It serves as a template and learning resource for ML practitioners.

This project implements a deep learning pipeline for tumor detection and segmentation in medical images (MRI/CT) using the MONAI framework and PyTorch.

Brain-Forge is an advanced brain-computer interface system that combines cutting-edge neuroimaging technologies to create comprehensive brain scanning, mapping, and simulation capabilities. The platform integrates multi-modal sensor fusion, real-time data processing, and neural simulation to enable unprecedented understanding and modeling of brain

A comprehensive Simultaneous Localization and Mapping (SLAM) implementation in Python with advanced ROS 2 integration, PX4 flight control, and containerized deployment capabilities. This project provides a complete SLAM framework with advanced computer vision techniques and integration capabilities for autonomous navigation applications.

A high-performance C++ application for generating 3D point clouds from stereo camera images using GPU acceleration (CUDA for NVIDIA or HIP for AMD GPUs).

A comprehensive geospatial analysis and visualization platform for Mars exploration data, integrating NASA's Mars datasets, USGS planetary data, and advanced AI/ML techniques for terrain analysis, landing site selection, and mission planning support.

A project to build GPU acceleration for LLaMA models on local computers and AWS, leveraging GPU resources for efficient inference and training.

A comprehensive collection of GPU kernel examples demonstrating essential parallel computing techniques for modern GPU programming. This project supports both NVIDIA CUDA and AMD ROCm platforms, focusing on the most in-demand GPU programming skills required in industry today.

GPU acceleration extensions for Apache OpenNLP** to dramatically boost natural language processing performance with seamless integration and zero accuracy loss.

Interactive multi-region web maps for historical tornado risk analysis — compare candidate locations using 30 years of NOAA/SPC data.

This project provides Python scripts for visualizing temperature and earthquake data using matplotlib, pandas, and numpy. It includes tools for data conversion, plotting, and basic testing, aimed at scientific analysis and educational use.

CUDA/PTX Static Analysis & Guidance Engine - GPU-free static analyzer for NVIDIA PTX assembly that surfaces warp divergence, register spills, and occupancy bottlenecks before you ever touch a profiler.

Python project to experiment with bounded spacecraft motion near the binary asteroid system Moshup-Squannit (1999 KW4), inspired by RF3BP pulsating-rotating formulations.

A comprehensive, hands-on curriculum for mastering Machine Learning with Python

A comprehensive Python-based simulation environment for First Lego League competitions, featuring realistic robot physics, interactive game maps, and mission scenarios.

Air‑gapped, zero‑trust persistent memory CLI for AI agents and developers. AGM makes code context and decisions durable, auditable, and portable without relying on any cloud services. It’s built for regulated and offline environments where transparency and operator control are non‑negotiable.

A fully self-hosted modern website for fayette.lib.wv.us, served via Docker + Nginx.

30 years of NOAA-verified flood data for the Charleston, SC metro — interactive map, risk zones, and location decision analysis.

Rodent Revenge is an open-source Python remake of the classic Windows puzzle game Rodent's Revenge (Microsoft, 1991). Guide your mouse around a grid, push cardboard boxes to surround and trap orange cats, then collect the cheese they leave behind.