EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware.

Assorted machine learning implementations for medical data (legacy)

NUNIX (Neural UNIX) is an experimental operating system project that can act as a second brain for the human mind. It is far from complete.

Python package for digital phenotyping data synchronization and acquisition

Browser-based interactive 3D brain visualizer with regions, projections, circuits, psychiatric drugs, receptors, more to come.

DDALAB is a software platform for analyzing physiological time-series data using Delay Differential Analysis (DDA).

OpenAI-compatible FastAPI server for German neurology and neuro-oncology audio transcription using Parakeet-MLX. Optimized for Apple Silicon M4

An interactive brain receptive field and stimulation viewer.

A tool for automatic measurements of axon lengths, the nerve fibers connecting neurons in a brain.

Automated data cleaning and sleep/gait metrics for Apple Watch data collected via SensorKit and ResearchKit.

Machine Learning and AI for Neurologists — a free, original web edition introducing ML/AI concepts for clinical practice.

A library of different types of neurological medications such as SSRIs, SNRIs, Stimulants, Benzodiazepines, NMDAs and etc all being simulated to produce data on total plasma concentrations, therapeutic window, binding affinity, half-life and more - plotted into a graph using Matplotlib and explained through sending the data to an Open AI API.

Transparent statistical pipeline for identifying biomarkers associated with neurological disease progression. Spearman correlations, Mann-Whitney group comparisons, volcano plots, and FDR correction.

AI pipeline that matches neurological patients to recruiting clinical trials — hybrid LLM diagnosis, OASIS-2 cognitive scoring, live ClinicalTrials.gov API.

Deterministic, baseline-anchored forecasting framework for Phase 2/3 neurological trials with structured evidence weighting, locked probabilities, calibration tracking, and Brier score evaluation

Open scientific AI project for motor movement analysis, motor rehabilitation, and neurological conditions using data science, machine learning, and computer vision.

This library contains several utilities and scores commonly used in multiple sclerosis studies.

Medical information system for stroke registry and clinical analytics

Analysis tool for people suffering from Cavernous Malformations or Cavernous