jackie-fmri-sim
Machine learning for NeuroImaging in Python
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
A usable pixel art paint program written in Python
Cross-platform DICOM viewer for CT, MRI & PET/CT with MPR, 3D, fusion, editable segmentation and local AI auto-segmentation via TotalSegmentator.
An automated structural MRI morphometry system integrating CAT12 processing, brain tissue quantification, visualization, and automated report generation.
Polymarket trading bot for prediction markets — browse CLOB markets, watch the order book in the terminal, run edge detection, liquidity provision and cross-market arbitrage strategies with paper trading and risk limits. Educational open-source toolkit — not financial advice. Unofficial community project, not affiliated with Polymarket.
Desktop GUI for Qobuz hi‑res / lossless music downloader. Built on streamrip | Electron + React + FastAPI
A Windows tray app that interrupts you when you yell. Measures your voice on first run rather than guessing a threshold.
Local-first, evidence-aware project memory for AI coding agents.
A browser-based 3D atlas of clinical neuroanatomy in MNI152 space: 592 meshes with synchronised MRI slices, arterial territories, traced pathways, a syndrome and lesion mode, clinical topics, a glossary and a quiz. Every entry cites open-access sources. English and Turkish.
A Python framework that provides a common data model and computational abstraction layer for MRI raw data
MRI research guidance for coding agents — composable skills, established tools, and evidence-linked research memory. Install: npx skills add KeWang0622/MRFoundry