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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
(NeurIPS 2025), Compact CNNs for EEG decoding: response time prediction and behavioral assessment using competition starter kit infrastructure with custom normalization and training strategies using the Healthy Brain Network (HBN) EEG dataset
A comprehensive industrial automation platform demonstrating integration between machine vision systems, industrial robots, PLCs, and quality control systems for modern manufacturing applications.
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.
This project visualizes NEXRAD radar data, state boundaries, and street maps using OpenLayers and TMS layers. It overlays hazard markers and supports interactive map controls, integrating external tile services and AJAX-based data loading.
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.
The Internet of Space Things (IoST) is a revolutionary platform that brings Internet of Things (IoT) concepts to space exploration, specifically designed to support human spaceflight missions. This project creates an intelligent, interconnected ecosystem of sensors, communication systems, and AI-driven analytics to ensure crew safety,
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.
Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building AI applications that benefit from multiple specialized agents working in parallel on different aspects of a project.
A carefully engineered full-stack JavaScript development workspace featuring traditional IntelliSense and autocomplete capabilities without AI code generation or assistance.
AdaAttn is a GPU-native attention mechanism that dynamically adapts both numerical precision and matrix rank at runtime, reducing memory bandwidth and computational overhead in large language models without sacrificing model quality. By aligning linear algebra operations with modern GPU hardware characteristics.
GPU acceleration extensions for Apache OpenNLP** to dramatically boost natural language processing performance with seamless integration and zero accuracy loss.