wasserth

wasserth's Stars

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.3k286422.3k

• reflex-dev/reflex

  🕸️ Web apps in pure Python 🐍

  Language:Python20.4k1591.7k1.2k

• doccano/doccano

  Open source annotation tool for machine learning practitioners.

  Language:Python9.6k1341.5k1.7k

• pycaret/pycaret

  An open-source, low-code machine learning library in Python

  Language:Jupyter Notebook9k1372.3k1.8k

• holoviz/panel

  Panel: The powerful data exploration & web app framework for Python

  Language:Python4.8k613.7k521

• libffcv/ffcv

  FFCV: Fast Forward Computer Vision (and other ML workloads!)

  Language:Python2.9k21282179

• facebookresearch/diplomacy_cicero

  Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.

  Language:Python1.3k2320162

• MedMNIST/MedMNIST

  [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

  Language:Python1.1k1660169

• rordenlab/dcm2niix

  dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

  Language:C++89938701229

• 282857341/nnFormer

  Language:Python801713585

• ljwztc/CLIP-Driven-Universal-Model

  [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

  Language:Python58498371

• BBillot/SynthSeg

  Contrast-agnostic segmentation of MRI scans

  Language:Python37788596

• icometrix/dicom2nifti

  Language:Python3401313279

• fury-gl/fury

  FURY - Free Unified Rendering in pYthon.

  Language:Python24621236182

• QIICR/dcmqi

  dcmqi (DICOM for Quantitative Imaging) is a free, open source C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

  Language:C++2401423261

• MIC-DKFZ/napari-sam

  Language:Python22491427

• qurit/rt-utils

  A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

  Language:Python203107057

• lassoan/SlicerTotalSegmentator

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

  Language:Python18794225

• ImagingDataCommons/highdicom

  High-level DICOM abstractions for the Python programming language

  Language:Python17998337

• kaapana/kaapana

  Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

  Language:Python15813845

• iitzco/deepbrain

  Deep Learning tools for brain medical images

  Language:Python13241538

• QIMP-Team/MOOSE

  MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

  Language:Python11955521

• modelhub-ai/modelhub

  A collection of deep learning models with a unified API.

  Language:Python697319

• tomaroberts/nii2dcm

  nii2dcm: NIfTI to DICOM creation with Python

  Language:Python6142414

• GSTT-CSC/TotalSegmentator-AIDE

  TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.

  Language:Python243225

• jasonccai/HeadCTSegmentation

  Multi-class U-Net for head CT segmentation

  Language:HTML2415

• raidionics/LyNoS

  :hugs: A multilabel lymph node segmentation dataset from contrast CT

  Language:Jupyter Notebook17112

• AIM-Harvard/TotalSegmentator-to-nnUNet-format-convert

  Convert the TotalSegmentator dataset into the nnUNet format

  Language:Python14205

• fsc-mib/travel

  Language:Python14234

• pacs-ris-crawler/pacs-ris-crawler

  Search the PACS and RIS

  Language:JavaScript7133