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381 software items. Page 32 of 32. 12 items per page. 1 filters active.
373-381 of 381

Verticox+

Verticox+ is a Cox proportional hazards algorithm for vertically distributed data. The solution is based on the Verticox algorithm from Dai et al., 2022. It has been adapted to be used within the Vantage6 framework.

  • federated learning
  • Java
  • privacy preservation
  • + 3
  • Dockerfile
  • Java
  • Jinja
  • + 4
2
0

VU-Lab

This is the configuration and documentation page of the LARA lab automation setup at the VU. It incorporates SiLA servers for robotic arm, shakers and a microplate reader and runs the LARA lab automation framework for scheduling and orchestration.

  • Dynamic scheduling
  • laboratory automatization
  • orchestration
  • Batchfile
  • Dockerfile
  • Python
  • + 1
4
0

WebSemantic

WebSemantic helps language models run scientific software safely. From one code description it generates a readable contract, a validation ontology and FAIR metadata. Tests show it sharply reduces premature calculations and guessing of vague terms, preventing large errors.

  • FAIR
  • large language models
  • ontology
  • + 7
  • Batchfile
  • CSS
  • HTML
  • + 4
1
0

Winnow

Confidence control and FDR estimation for de novo peptide sequencing

  • Machine learning
  • mass spectrometry
  • python
  • Dockerfile
  • Makefile
  • Python
  • + 1
2
0

wntr-quantum

wntr-quantum (pronounced winter-quantum) extends the capabilities of the popular wntr package for water network modelling and analysis to quantum computing routine.

  • Quantum Computing
  • Water Distribution Networks
  • Python
  • Shell
2
0

Xenon Docker images

For your testing needs a collection of Docker images with different file systems and batch schedulers.

  • High performance computing
  • Workflow technologies
  • Clojure
  • Dockerfile
  • Python
  • + 4
7
0

yatiml

Python library for YAML type inference, schema checking and syntactic sugar.

  • Python
  • Shell
1
0

Yoda

A system for reliable, long-term storing and archiving large amounts of research data during all stages of a study.

  • CSS
  • Dockerfile
  • HTML
  • + 5
0
0

Zeeschuimer

Zeeschuimer is a browser extension that monitors traffic while browsing social media, and collects seen posts/items for later systematic analysis. Its target audience is researchers who study content on social media platforms that resist conventional scraping or API-based data collection.

  • Browser Extension
  • Instagram
  • Social media
  • + 3
  • CSS
  • HTML
  • JavaScript
  • + 2
1
0