JOSS Papers: neural networks

All Papers
975
 Published Papers
885
 Active Papers
90
published Published about 2 months ago

NeuroDiffEq: A Python package for solving differential equations with neural networks

Jupyter Notebook Python
@feiyu-chen96
10.21105/joss.01931
published Published 2 months ago

ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists

Python Jupyter Notebook JavaScript
@ornlpmcp
10.21105/joss.01656
published Published 2 months ago

passt: An R implementation of the Probability Associator Time (PASS-T) model

R
@johannes-titz
10.21105/joss.01900
published Published 3 months ago

Larq: An Open-Source Library for Training Binarized Neural Networks

Python
@lgeiger
10.21105/joss.01746
published Published 8 months ago

ivis: dimensionality reduction in very large datasets using Siamese Networks

R Python
@beringresearch
10.21105/joss.01596
published Published 8 months ago

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

Python
@silvandeleemput
10.21105/joss.01576
published Published 9 months ago

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

Python
@sanskriti-s
10.21105/joss.01420
published Published 9 months ago

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

Python JavaScript
@adadiehl
10.21105/joss.01520
published Published about 1 year ago

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

R C++
@andrewthomasjones
10.21105/joss.01193
published Published about 1 year ago

NN-SVG: Publication-Ready Neural Network Architecture Schematics

JavaScript
@zfrenchee
10.21105/joss.00747
Displaying papers 1 - 10 of 18 in total

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ISSN 2475-9066