- https://github.com/google-research/arxiv-latex-cleaner : arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
- https://github.com/arkhn/pyrog : Standardization tool for healthcare data
- https://github.com/typeorm/typeorm : ORM for TypeScript and JavaScript (ES7, ES6, ES5).
- https://github.com/Naereen/badges : Markdown code for badges
- https://github.com/tabulapdf/tabula-java : Extract tables from PDF
- https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network : Tools to Design or Visualize Architecture of Neural Network
- https://github.com/cornerstonejs/cornerstone : JavaScript library to display interactive medical images
- https://github.com/DLTK/DLTK : Deep Learning Toolkit for Medical Image Analysis
- https://github.com/n8n-io/n8n : Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
- https://github.com/Project-MONAI/MONAI : AI Toolkit for Healthcare Imaging
- https://github.com/vladmandic/face-api : FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS
- https://github.com/Project-MONAI/MONAILabel : MONAI Label images for machine learning
- https://github.com/Project-MONAI/MONAI : AI Toolkit for Healthcare Imaging
- https://github.com/aramis-lab/clinica : Software platform for clinical neuroimaging studies
- https://github.com/MIC-DKFZ/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.
- https://github.com/opensafely-core/cohort-extractor : Cohort extractor tool which can generate dummy data, or real data against OpenSAFELY-compliant research databases
- https://github.com/deeptools/deepTools : Tools to process and analyze deep sequencing data.
- https://github.com/arkhn/fhir-river : Live ETL pipeline to standardize Health Data into FHIR.
- https://github.com/google/simhospital : Simulated Hospital is a tool that generates realistic and configurable hospital patient data in HL7v2 format.
- https://github.com/GoogleCloudPlatform/healthcare-data-harmonization : This is an engine that converts data of one structure to another, based on a configuration file which describes how. There is an accompanying syntax to make writing mappings easier and more robust.
- https://wandb.ai/site : Developer tools for machine learning Build better models faster with experiment tracking, dataset versioning, and model management
- http://terrier.org/ : Terrier is a highly flexible, efficient, and effective open source search engine, readily deployable on large-scale collections of documents.
- https://www.jamovi.org/ : jamovi is a compelling alternative to costly statistical products such as SPSS and SAS.
- https://github.com/amazon-research/nl2sql-omop-cdm : Natural Language to SQL Queries in the OMOP CDM Datasets
- https://github.com/OHDSI/Nostos : Navigate OMOP-structured data via text-to-SQL
- https://github.com/microsoft/Tools-for-Health-Data-Anonymization : Set of tools for helping with data (in FHIR format) anonymization.
- https://github.com/svjan5/medtype : MedType: Improving Medical Entity Linking with Semantic Type Prediction
- https://github.com/carrot2/carrot2 : Carrot2: Text Clustering Algorithms and Applications
- https://github.com/tyiannak/pyAudioAnalysis : Python Audio Analysis Library
- https://github.com/IHTSDO/snowstorm : Scalable SNOMED CT Terminology Server using Elasticsearch
- https://github.com/LinuxForHealth/dicom-fhir-converter : Converts DICOM Resources to FHIR Resources