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88 software items. Page 2 of 8. 12 items per page. 1 filters active.
13-24 of 88

laserchicken

Toolkit for preprocessing and feature calculation of point clouds created using airborne laser scanning

  • Big data
  • Machine learning
  • Jupyter Notebook
  • Python
12
26

DIANNA

Deep Insight And Neural Network Analysis, DIANNA is the only Explainable AI, XAI library for scientists supporting Open Neural Network Exchange, ONNX - the de facto standard models format.

  • Explainable AI
  • Image processing
  • Machine learning
  • + 2
  • Jupyter Notebook
  • Python
  • TeX
12
22

SWMM_GNN_Repository_Paper_version

SWMM GNN metamodel – Code for paper: Transferable and Data Efficient Metamodeling of Storm Water System Nodal Depths Using Auto-Regressive Graph Neural Networks

  • GNN
  • Graph neural networks
  • Machine learning
  • + 5
  • Jupyter Notebook
  • Markdown
  • Other
  • + 2
4
21

Machine learning-based classification model corresponding to the paper 'Machine learning to improve orientation estimation in sports situations challenging for inertial sensor use'

Machine learning-based classification model corresponding to the paper 'Machine learning to improve orientation estimation in sports situations challenging for inertial sensor use'

  • Inertial Measurement Unit
  • kinematics
  • Machine learning
  • + 3
1
19

Dive

Interactively explore millions of 2D and 3D data points in your browser, without the need to install anything.

  • Big data
  • Machine learning
  • Visualization
  • CSS
  • HTML
  • JavaScript
  • + 1
2
16

MapReader

MapReader is an end-to-end computer vision (CV) pipeline for exploring and analyzing images at scale.

  • computer vision
  • digital humanities
  • geospatial
  • + 4
  • Dockerfile
  • Python
  • Shell
  • + 1
7
16

FedvsCent

Code supporting chapter 3 of the PhD thesis: "A comprehensive experimental comparison between federated and centralized learning Open Access"

  • benchmark
  • complex models
  • Distributed data
  • + 3
3
14

fedKMeans

Code supporting chapter 4 of the PhD thesis: Federated K-Means Clustering.

  • Big data
  • Clustering
  • federated learning
  • + 3
2
12

FastMLC

Detect clusters in for example large collections of DNA or protein sequences, and visualize the results in a web browser.

  • Big data
  • Machine learning
  • Visualization
  • C
  • C++
  • CMake
  • + 5
5
11

gammalearn

Deep Learning for Imaging Cherenkov Telescopes Data Analysis

  • cta
  • deep learning
  • Gamma-ray telescopes
  • + 1
  • Dockerfile
  • Python
4
10

Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction

Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction

  • Feed-forward neural network
  • Machine learning
  • MATLAB
  • + 5
3
8

Clustering Geo-data Cubes

Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.

  • Big data
  • geospatial
  • Machine learning
  • + 1
  • Jupyter Notebook
  • Python
  • TeX
7
8