GPU-Accelerated Brain Image Processing Pipeline for OpenNeuro Datasets

This project provides sample JSON data for graph and chart visualization, organized by difficulty level: beginner, intermediate, and advanced. The datasets are designed for use in data visualization tools, libraries, and educational settings, supporting users from basic to complex scenarios.

A comprehensive testing suite for validating ROCm (Radeon Open Compute) functionality with Python machine learning frameworks and libraries.

A comprehensive implementation of Nvidia NeMo Guardrails for AI safety and responsible AI development.

Anthropic's original performance take-home, now open for you to try!

A Brain-Computer Interface (BCI) system that visualizes memory formation patterns in real-time, helping users optimize learning and recall through neurofeedback.

This project implements PDDL-INSTRUCT with Logical Chain-of-Thought (LCoT), a novel approach to improve Large Language Model (LLM) performance on automated planning tasks. The system enhances planning capabilities through:

An intelligent research assistant powered by LangChain and Claude that helps neuroscience researchers query neural datasets, generate summaries, and plan experiments.