Machine Learning & Neuroscience.
little-coder. A harness optimized to smaller LLMs
1.7kweb-muse. A modern JavaScript library for connecting to Muse EEG devices using Web Bluetooth API. This project aims to provide a maintained alternative to muse-js which is no longer actively maintained.
19brain-arcade. A retro arcade of thought-controlled minigames - proving neurotechnology is already here, accessible, and ready to hack.
12ADclassifier. EEG frequency patterns analysis for distinguishing Alzheimer's Disease patients from age-matched healthy controls
10eeg-recorder-app. A complete web-based solution for recording EEG data from the Muse 2 headset and processing it with scientific-grade analysis.
7brainproject. A 3D map of the brain that's easy to learn from and explore, built to share knowledge, freely and openly.
7datasetter. Python-based pipeline for unifying and preprocessing EEG data from multiple OpenNeuro datasets.
5slick-keybord. A single-row predictive keyboard for iOS.
4FeelMe. Pretrained-model based full-stack platform, designed to help people gain insights on human feelings and interactions.
3ml-pipeline. This project demonstrates best practices for building maintainable, reproducible ML systems.
3Brainput. Automated EEG data preprocessing tool, based on MNE Python.
3EyesMove. A dense neural network model, built & trained to decide based on EEG data.
1SecondOpinion. A convolutional neural network model, built & trained to recognize 3 types of brain tumors.
1gemma-teach. Rust
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