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85 software items. Page 3 of 8. 12 items per page. 1 filters active.
25-36 of 85

fedKMeans

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

  • Big data
  • Clustering
  • federated learning
  • + 3
2
7

SBSL

Data and code underlying the publication: Overcoming Selection Bias in Synthetic Lethality Prediction

  • anti-cancer therapeutics
  • computational prediction
  • gene dependency
  • + 3
3
7

sv-channels

Genome-wide detection of structural variants using deep learning

  • Machine learning
  • ("Jupyter Notebook")
  • (Python)
  • (R)
  • + 1
4
6

Combining-Deeb-Learning-with-Uncertinity

Code and results underlying the publication: Combining Deep Neural Networks and Gaussian Processes for Asphalt Rheological Insights

  • Asphalt binder
  • Asphalt mastic
  • Gaussian process
  • + 3
  • ("Jupyter Notebook")
  • (Markdown)
  • (Other)
  • + 1
4
5

eEecology Classification

Automatic classification of accelerometer data using a supervised learning approach.

  • Machine learning
  • (Batchfile)
  • (CSS)
  • (HTML)
  • + 3
1
5

mexca

Capture emotion expressions from video, audio, and text with a single pipeline.

  • Audio processing
  • Image processing
  • Machine learning
  • + 1
  • (Dockerfile)
  • (Python)
  • (Shell)
5
5

AstronomicAL

An interactive dashboard for visualisation, integration and classification of data using Active Learning.

  • Active Learning
  • Classification
  • Data Analysis
  • + 11
  • (Python)
  • (TeX)
1
4

Hercules

Retrieve recent tweets from certain users and classify them with machine learning

  • Machine learning
  • Text analysis & natural language processing
  • ("Jupyter Notebook")
  • (Python)
  • (Shell)
1
4

BrazilClim: script to gauge-calibrate the surfaces

BrazilClim: script to gauge-calibrate the surfaces

  • Bioclimatic variables
  • Brazil
  • land surface temperatures
  • + 4
5
3

chimp-classifier

The Python package `junglesounds` is a machine learning pipeline for classifying bioacoustic data using machine learning. The pipeline is reusable for other settings and species or vocalization types as long as a certain amount of labeled data has been collected.

  • audio
  • Audio processing
  • bioacoustics
  • + 2
  • ("Jupyter Notebook")
  • (Python)
  • (Shell)
2
3

Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

  • Feedforward neural network
  • Machine learning
  • Monte Carlo simulations
  • + 2
3
2

MOTrainer

Measurement Operator Trainer for data assimilation purposes.

  • Data assimilation
  • High performance computing
  • Machine learning
  • + 2
  • ("Jupyter Notebook")
  • (Python)
  • (Shell)
  • + 1
7
2