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.

gpu-computing lang-python nlp-tools status-experimental ai-ml-portfolio scope-enterprise framework-numpy framework-pandas framework-huggingface framework-pytorch framework-scikit-learn ai-ml-portfolio-rag gpu-deep-learning gpu-rag gpu-nlp gdl-bio-neuro

• Updated Jul 8, 2026
• Python

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

gpu-computing status-active lang-python ai-ml-portfolio status-stable scope-small framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-pytorch gpu-deep-learning gpu-llm

• Updated Jun 13, 2026
• Python

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

gpu-computing status-active lang-python ai-ml-portfolio status-stable scope-medium framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-pytorch framework-scikit-learn framework-cuda ai-ml-portfolio-ml gpu-scientific gpu-deep-learning gdl-bio-neuro

• Updated May 19, 2026
• Python

A project to build GPU acceleration for LLaMA models on local computers and AWS, leveraging GPU resources for efficient inference and training.

gpu-computing status-active lang-python generative-ai gpu-inference ai-ml-portfolio scope-medium framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-pytorch framework-scikit-learn framework-cuda ai-ml-portfolio-llm gpu-scientific gpu-deep-learning gpu-llm

• Updated May 19, 2026
• Python

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-computing status-active lang-python ai-ml-portfolio status-stable scope-small framework-docker framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-plotly framework-pytorch framework-scikit-learn framework-tensorflow framework-cuda ai-ml-portfolio-ml gpu-scientific gpu-deep-learning gpu-llm

• Updated May 19, 2026
• Python

A comprehensive, hands-on curriculum for mastering Machine Learning with Python

gpu-computing status-active ai-ml-portfolio status-stable lang-jupyter scope-medium framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-pytorch framework-scikit-learn framework-tensorflow ai-ml-portfolio-ml gpu-deep-learning

• Updated May 19, 2026
• Jupyter Notebook

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

computer-vision gpu-computing status-active lang-python ai-ml-portfolio status-stable scope-small framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-plotly framework-pytorch framework-scikit-learn ai-ml-portfolio-ml gpu-vision gpu-deep-learning

• Updated May 19, 2026
• Python

ALS Research Literature RAG System - FAISS + sentence-transformers + OpenAI

gpu-computing lang-python status-experimental ai-ml-portfolio scope-small framework-numpy framework-pandas framework-huggingface framework-pytorch ai-ml-portfolio-rag gpu-deep-learning gdl-medical-ai gpu-rag

• Updated May 19, 2026
• Python

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

gpu-computing lang-python status-experimental ai-ml-portfolio scope-micro framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-plotly framework-pytorch framework-scikit-learn ai-ml-portfolio-ml gpu-deep-learning gdl-agentic-ai gdl-bio-neuro

• Updated May 19, 2026
• Python

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:

gpu-computing status-active lang-python nlp-tools generative-ai ai-ml-portfolio status-stable scope-micro framework-numpy framework-matplotlib framework-pandas framework-huggingface framework-pytorch framework-scikit-learn ai-ml-portfolio-llm gpu-deep-learning gpu-llm gpu-nlp

• Updated May 19, 2026
• Python

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

gpu-computing status-active lang-python ai-ml-portfolio status-stable scope-micro framework-numpy framework-pandas framework-huggingface framework-pytorch gpu-deep-learning gpu-llm

• Updated Nov 20, 2025
• Python