JOSS Papers: neural networks

All Papers
805
 Published Papers
697
 Active Papers
108
published Published about 2 months ago

ivis: dimensionality reduction in very large datasets using Siamese Networks

R Python
@beringresearch
10.21105/joss.01596
published Published about 2 months ago

MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks

Python
@silvandeleemput
10.21105/joss.01576
published Published 2 months ago

ECabc: A feature tuning program focused on Artificial Neural Network hyperparameters

Python
@sanskriti-s
10.21105/joss.01420
published Published 2 months ago

CGIMP: Real-time exploration and covariate projection for self-organizing map datasets

Python JavaScript
@adadiehl
10.21105/joss.01520
published Published 7 months ago

BoltzMM: an R package for maximum pseudolikelihood estimation of fully-visible Boltzmann machines

R C++
@andrewthomasjones
10.21105/joss.01193
published Published 8 months ago

NN-SVG: Publication-Ready Neural Network Architecture Schematics

JavaScript
@zfrenchee
10.21105/joss.00747
published Published 11 months ago

FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks

Python
@mattgolub
10.21105/joss.01003
published Published 11 months ago

TensorFlow.jl: An Idiomatic Julia Front End for TensorFlow

Julia
@malmaud
10.21105/joss.01002
published Published almost 2 years ago

MatDL: A Lightweight Deep Learning Library in MATLAB

Matlab C
@haythamfayek
10.21105/joss.00413
published Published almost 2 years ago

Augmentor: An Image Augmentation Library for Machine Learning

Python Jupyter Notebook
@mdbloice
10.21105/joss.00432
Displaying paper 1 - 10 of 14 in total

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