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61-67 of 67

KinFit

KinFit can be used for kinematic fitting in particle and hadron physics experiments. The iterative procedure is based on the Langrange multiplier technique. Constraints such as mass, vertex and momentum conservation are included.

  • C++
  • Data analysis
  • open source
  • C++
  • C
  • CMake
3
0
Logo for micromechanics-indentationGUI

micromechanics-indentationGUI

Graphical User Interface (GUI) software for analyzing nanoindentation experimental data

  • Data analysis
  • Data Visualization
  • Energy
  • + 5
  • Python
4
0

novoSpaRc

novoSpaRc predicts locations of single cells in space by solely using single-cell RNA sequencing data. An existing reference database of marker genes is not required, but significantly enhances performance if available.

  • Data analysis
  • open source
  • single-cell RNA-seq
  • Jupyter Notebook
  • HTML
  • Python
4
0

PeakPerformance

PeakPerformance is a Python toolbox for estimating peak areas from mass-spectrometry or HPLC datasets under uncertainty. It applies Bayesian inference using the PyMC library to parametric models of peak curves.

  • Data analysis
  • Earth & Environment
  • mass spectrometry
  • + 4
  • Python
  • TeX
3
0
Logo for sci2grid

sci2grid

sci2grid is a software tool for extracting, filtering, and processing data to build open-source grid models. The main objective of sci2grid is to offer easily accessible and transparent models that support further applications in science, industry, and society.

  • Data analysis
  • Energy
  • ESD
  • + 4
    0
    0
    Logo for Timeseries Management

    Timeseries Management

    The Timeseries Management allows to store, visualise, organise and share timeseries data and provides access to a (broad) selection of data from different long-term projects and campaigns (e.g. TERENO, MOSES).

    • Data analysis
    • Data Visualization
    • Earth & Environment
    • + 2
      2
      0

      UTILE-Oxy

      Automated workflow using deep learning for the analysis of videos containing oxygen bubbles in PEM electrolyzers: 1. preparing annotated dataset and training models to conduct semantic seg- mentation of bubbles and 2. automating the extraction of bubble properties for further distribution analysis.

      • bubbles
      • Data analysis
      • Data Visualization
      • + 7
      • Python
      • Jupyter Notebook
      6
      0