[NeurIPS 2024] Touchstone - Benchmarking AI on 5,172 o.o.d. CT volumes and 9 anatomical structures

Processing Library and Analysis Toolkit for Medical Imaging in Python

A 3D implementation of the DINO framework for self-supervised pre-training in medical image analysis.

Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model

Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!

📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) o…

Get your documents ready for gen AI

Code execution utilities for Open WebUI & Ollama

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

This is the official project webpage of BHSD (MLMI 2023).

3D Slicer extension for fully-automatic segmentation of CT and CBCT dental volumes.

Stores the MHub models dockerfiles and scripts.

TheBoringNotch: Not so boring notch That Rocks 🎸🎶

Powerful menu bar manager for macOS

Sleeping Mac = Bluetooth off

A repo that contains a way to auto version bump based on gitmoji commits

Information about the medical imaging community

Lighter is a framework for streamlining deep learning experiments with configuration files. PyTorch Lightning + MONAI Bundle.

This package prepares your software project for continuous injection into your AI assistant

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Asynchronous FastAPI wrapper for AsyncOpenAI and OpenAI assistantAPI Resources

Slicer3D extension for rating using Likert-type score Deep-learning generated segmentations, with segment editor functionality. Created to speed up the validation process done by a clinician - the …

CoreNet: A library for training deep neural networks

Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.

Quadra: Effortless and reproducible deep learning workflows with configuration files.

A pytorch quantization backend for optimum

Better GitHub statistics images for your profile, with stats from private repos too