Starred repositories
Karpathy’s LLM Wiki, 100% local with Ollama. Drop Markdown notes → AI extracts concepts → your Obsidian wiki auto-links and grows. Zero sharing. Your notes stay yours.
Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.
Automated Machine Learning for Image Classification in Whole-Slide Imaging with Multiple Instance Learning
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Deezer source separation library including pretrained models.
A professional presentation theme for Slidev, designed specifically for academic presentations with LaTeX Beamer-inspired styling.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
The Radiomics Processing Toolkit (RPTK) is an automated self-optimizing Framework which can be used as a task-agnostic pipeline to predict radiomics-based biomarkers for any binary classification p…
A library that integrates different MIL methods into a unified framework
A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
uniGradICON: A Foundation Model for Medical Image Registration (MICCAI 2024)
AMI-Br: A Dataset of Typical and Atypical Mitotic Figures on Human Breast Cancer
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
BOA is a segmentation tool of CT scans by the SHIP-AI group (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Composition Analysis, this tool is capable of analyzing medical …
Towards a Portable Research PACS for Interdisciplinary Collaboration
A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.
Open source tools for computational pathology - Nature BME
Powerful, open-source AI tools for digital pathology.
A game theoretic approach to explain the output of any machine learning model.
A Python toolkit for pathology image analysis algorithms.
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.