JOSS Papers: unsupervised learning

All Papers
3124
 Published Papers
2792
 Active Papers
332
published Published 22 days ago

PANINIpy: Package of Algorithms for Nonparametric Inference with Networks In Python

Python Jupyter Notebook
@baiyueh
10.21105/joss.07312
published Published 4 months ago

AutoEncoderToolkit.jl: A Julia package for training (Variational) Autoencoders

Julia
@mrazomej
10.21105/joss.06794
published Published about 1 year ago

DREiMac: Dimensionality Reduction with Eilenberg-MacLane Coordinates

Python
@LuisScoccola
10.21105/joss.05791
published Published over 1 year ago

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

Python
@alawryaguila
10.21105/joss.05093
published Published over 1 year ago

Persistable: persistent and stable clustering

Python Cython
@LuisScoccola
10.21105/joss.05022
published Published about 2 years ago

ClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learning

Julia
@AP6YC
10.21105/joss.03527
published Published about 3 years ago

TorchGAN: A Flexible Framework for GAN Training and Evaluation

Python Jupyter Notebook
@avik-pal
10.21105/joss.02606
published Published about 5 years ago

TimeSeriesClustering: An extensible framework in Julia

Julia
@holgerteichgraeber
10.21105/joss.01573
published Published over 5 years ago

ivis: dimensionality reduction in very large datasets using Siamese Networks

R Python
@beringresearch
10.21105/joss.01596
published Published about 6 years ago

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

Python
@vc1492a
10.21105/joss.00845
Displaying papers 1 - 10 of 12 in total

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ISSN 2475-9066