scope-small

An optimized implementation of the Kimi Linear architecture - a hybrid linear attention mechanism outperforming traditional full attention.

Detects when a cat walks on your keyboard desktop notification, optional screen lock.

A comprehensive industrial automation platform demonstrating integration between machine vision systems, industrial robots, PLCs, and quality control systems for modern manufacturing applications.

A low-cost, open-source EEG acquisition and preprocessing system spanning circuit-level prototyping, simulation (Simscape), digital signal acquisition via an ADS1115 ADC and Raspberry Pi Zero V1.3, and software preprocessing using Python and MATLAB.

QuantumForge is an open-source framework that revolutionizes quantum chemistry calculations by combining the power of GPU acceleration, deep learning, and density functional theory. Built for researchers who demand both accuracy and performance.

Verification-first test infrastructure for secure, dependency-aware Java to Python translation services.

A comprehensive collection of common programming questions, solutions, and best practices covering various topics from coding challenges to security concepts.

This repository contains experimental quantum computing algorithms and simulations for cutting-edge research applications including medical genomics, cosmology, and quantum machine learning.

Lightweight, extensible Brownian dynamics toolkit for nanoparticles and proto-nanorobotics NanoSimLab provides accessible tools for simulating and analyzing nanoparticle systems using Brownian dynamics, with a focus on nanorobotics research and development. The toolkit runs out-of-the-box with NumPy/SciPy and offers seamless integration.

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 Python-based machine learning platform for real-time seismic event detection, analysis, and classification. This system integrates with authoritative seismic data sources (USGS and IRIS) to provide intelligent earthquake monitoring and analysis capabilities.

This project is designed to enhance workflows and optimize processes through GitHub Actions, AI-powered tools, and intelligent automation.

A specialized compression and interface layer that enables Apple's BCI HID technology to work more efficiently with existing BCI compression algorithms, focusing on low latency and high signal quality.

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.

enterprise-grade space telemetry operations platform designed for real-time spacecraft data processing, analysis, and monitoring. This system provides comprehensive telemetry ingestion, processing, and visualization capabilities with robust security, high availability, and regulatory compliance for modern space missions.

WACV 2026 RWS Challenge: Building object detectors that maintain consistent performance across seasons, weather patterns, and day-night cycles in thermal imagery.

A high-performance neural signal simulator with real-time GPU-accelerated visualization for neuroscience research and development.

Detect fraudulent job emails targeting US security clearance holders and job seekers.

A production-grade, multi-cloud ML classification system designed for 99.95% uptime and zero vendor lock-in. Built for USPS to ensure mission-critical operations never depend on a single cloud provider.

Distributed Supercomputer Control Plane is a Python framework for modeling a software-defined cluster built from heterogeneous nodes. It is designed to answer a practical question: what happens when you combine PlayStation-class hardware, commodity ARM boards, and x86 servers under a single scheduler and performance model