EEG-RAG is a Retrieval-Augmented Generation (RAG) system specifically designed for electroencephalography (EEG) research. It enables researchers, clinicians, and data scientists to ask natural language questions about EEG literature and receive evidence-based answers with proper citations.

(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

Source-level patches for AMD ROCm to fix critical memory coherency issues on RDNA1/2 consumer GPUs

An 3d Solar System Made Using Three JS and VibeCoding

Official GeoTools repository

A modern, browser-first guidance, navigation, and control (GNC) simulation suite built with TypeScript, React Three Fiber, and WASM.

A Python application to track and display mouse coordinates with both GUI and command-line interfaces.