JOSS Papers: unsupervised learning

All Papers
2517
 Published Papers
2244
 Active Papers
273
published Published 15 days ago

DREiMac: Dimensionality Reduction with Eilenberg-MacLane Coordinates

Python
@LuisScoccola
10.21105/joss.05791
published Published 7 months ago

Multi-view-AE: A Python package for multi-view autoencoder models

Python
@alawryaguila
10.21105/joss.05093
published Published 9 months ago

Persistable: persistent and stable clustering

Python Cython
@LuisScoccola
10.21105/joss.05022
published Published about 1 year ago

ClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learning

Julia
@AP6YC
10.21105/joss.03527
published Published about 2 years ago

TorchGAN: A Flexible Framework for GAN Training and Evaluation

Python Jupyter Notebook
@avik-pal
10.21105/joss.02606
published Published about 4 years ago

TimeSeriesClustering: An extensible framework in Julia

Julia
@holgerteichgraeber
10.21105/joss.01573
published Published over 4 years ago

ivis: dimensionality reduction in very large datasets using Siamese Networks

R Python
@beringresearch
10.21105/joss.01596
published Published about 5 years ago

PyNomaly: Anomaly detection using Local Outlier Probabilities (LoOP).

Python
@vc1492a
10.21105/joss.00845
published Published about 5 years ago

UMAP: Uniform Manifold Approximation and Projection

Python
@lmcinnes
10.21105/joss.00861
published Published over 6 years ago

hdbscan: Hierarchical density based clustering

Python Jupyter Notebook
@lmcinnes
10.21105/joss.00205
Displaying 10 papers

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ISSN 2475-9066