framework-matplotlib

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

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

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.

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

bridging quantum computing and neural networks to unlock computational capabilities impossible with classical systems alone. Built for researchers, developers, and enterprises seeking quantum advantage in machine learning.

This project uses traditional auto-complete extensions without AI/Copilot assistance.

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:

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

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

Open models and mission trades for laser ablation and laser-induced disruption of small bodies

A comprehensive, GPU-accelerated toolkit for integrating and visualizing large-scale fly brain imaging data in 3D, designed to democratize access to advanced brain mapping tools for fly brain researchers and neuroscientists worldwide.

(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

An AI-powered system for analyzing James Webb Space Telescope images to identify artificial structures, Dyson spheres, and objects that don't follow standard gravitational rules - potential indicators of intelligent extraterrestrial life.

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

The Bionic Arm Project is an ambitious open-source initiative to develop an advanced prosthetic limb system controlled directly by brain signals through a Brain-Computer Interface (BCI). Designed primarily for veterans and individuals with upper limb loss, this project aims to restore natural, intuitive arm and hand function.

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.

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

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.

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.

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.