kretes

xPlore

xPlore is a tool to find places you've never visited before and start exploring them!

SAAMI

Automatic segment and generate masks for any 3D medical images using SAM model without prompt

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

Airway

Automatic classification of tertiary bronchi based on bronchus masks using a rule-based approach.

allRank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

chunky3d

A 3D array-like NumPy-based data structure for large sparsely-populated volumes

clDice-Loss

Implementation of clDice - a Novel Connectivity-Preserving Loss Function for Vessel Segmentation (2019) in Keras/Tensorflow

CLIP-Driven-Universal-Model

Rank first in Medical Segmentation Decathlon (MSD) Competition.

Connectivity-Aware-Airway-Segmentation

[IEEE JBHI, 2023] Towards Connectivity-Aware Pulmonary Airway Segmentation

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

docs

TensorFlow documentation

EBM-NLP

HealthINF2020

Code and supplementary material for the HealthINF conference paper

K3D-jupyter

K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

micro-gpt

A minimal generic autonomous agent based on GPT3.5/4. Can analyze stock prices, perform network security tests, create art, and order pizza.

MLServer

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

MONAI

AI Toolkit for Healthcare Imaging

nnDetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

PaperWM

Tiled scrollable window management for Gnome Shell

PyData-Warsaw-Conference-2018

PyData-Warsaw-Conference-2019

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

rl-crash-course

Crash Course in Reinforcement Learning - ML in PL workshops

robotreviewer

Automatic synthesis of RCTs

SANet

SANet: A Slice-Aware Network for Pulmonary Nodule Detection

StarSpace

Learning embeddings for classification, retrieval and ranking.

ticktock

Simple Python code metering library

tutorials

MONAI Tutorials

WGSExtract.github.io

WGS Extract WWW home