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Logo for simona

simona

This package implements infrastructures for ontology analysis by offering efficient data structures, fast ontology traversal methods, and elegant visualizations. It provides a robust toolbox supporting over 70 methods for semantic similarity analysis.

  • Data analysis
  • Data Visualization
  • FAIR Data
  • + 3
  • R
  • C++
  • JavaScript
  • + 3
1
14
Logo for cyCONDOR

cyCONDOR

cyCONDOR, an easy-to-use computational framework for end-to-end High-Dimensional Cytometry data analysis. cyCONDOR offers guided pre-processing, clustering, dimensionality reduction, machine learning, pseudotime analysis, and batch integration, making it ideal for clinical and research settings.

  • Data Visualization
  • Health
  • Machine learning
  • + 2
  • R
5
13
Logo for challengeR

challengeR

challengeR: Methods and open-source toolkit for analyzing and visualizing challenge results

  • Computer science
  • Image processing
  • Machine learning
  • + 2
  • R
0
11
Logo for DL4PuDe

DL4PuDe

DL4PuDe is an AI-based framework that automatically detects pushing behavior in crowd videos, leading to a better understanding of pushing dynamics. This knowledge is crucial for better crowd management strategies and better design of public places, making public places more comfortable and safer.

  • Artificial Intelligence
  • Crowd Management
  • Deep Learning
  • + 3
  • Jupyter Notebook
  • Python
  • Cuda
  • + 2
3
9
Logo for  EuLerian Identification of ascending AirStreams - ELIAS 2.0

EuLerian Identification of ascending AirStreams - ELIAS 2.0

The ELIAS 2.0 software allows the identification of the footprints of rapidly ascending air streams in the atmosphere at substantially reduced computational costs compared to a conventional trajectory approach.

  • Atmospheric science
  • Earth & Environment
  • Machine learning
  • + 1
  • Python
  • Jupyter Notebook
2
9
Logo for BioAutoML - Democratizing Machine Learning in Life Sciences

BioAutoML - Democratizing Machine Learning in Life Sciences

BioAutoML automatically runs an end-to-end ML pipeline that can be effectively employed by non-experts. BioAutoML does not require specialized human assistance, i.e., it only needs a training dataset of biological sequences (FASTA files) to perform an end-to-end ML experiment.

  • Artificial Intelligence
  • Big data
  • BioAutoML
  • + 3
  • Jupyter Notebook
  • Python
7
5

sdaas

Simple machine learning tool in Python computing an anomaly score of seismic waveform amplitudes. By using a pre-trained Isolation forest model, the program can be used for identification of outliers in semismic data, assign robustness weights, or check instruments and metadata errors

  • Machine learning
  • outlier detection
  • seismic metadata
  • + 2
  • Python
1
1
Logo for Anomx

Anomx

Turn complex time-series data into actionable intelligence. Anomx combines AI agents, anomaly detection and predictive models to connect signals, investigate change and guide action. Built primarily for on-premises deployment, with hosted SaaS coming soon.

  • AI agents
  • anomaly detection
  • Data analysis
  • + 5
    1
    0
    Logo for AutoGaitA

    AutoGaitA

    AutoGaitA streamlines and standardises kinematic analyses of any species performing any rhythmic behaviour, such as walking, swimming or flying. AutoGaitA analyses the kinematics of body coordinate time series data obtained in 2D or 3D with marker-less or marker-based methods.

    • biology
    • Gait
    • Locomotion
    • + 3
    • Python
    6
    0
    Logo for DeepLOKI

    DeepLOKI

    DeepLOKI is an AI-based software that uses deep learning to classify zooplankton species from high-resolution images, improving research efficiency by enabling faster and more accurate onboard image analysis in marine science.

    • Data analysis
    • Earth & Environment
    • Machine learning
    • + 2
    • Python
    5
    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

    UniHarmony

    UniHarmony is a sklearn-inspired open-source Python library that aims to implement state-of-the-art data harmonization methods in a unified, standardized language, with extensive documentation and several use-case examples.

    • Data analysis
    • Image processing
    • Machine learning
    • + 2
    • Python
    • Just
    • Shell
    3
    0