JOSS Papers: neural networks

All Papers
1108
 Published Papers
945
 Active Papers
163
published Published 17 days ago

Sensie: Probing the sensitivity of neural networks

Python
@coljac
10.21105/joss.02180
published Published 5 months ago

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

Jupyter Notebook Python
@feiyu-chen96
10.21105/joss.01931
published Published 5 months ago

ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists

Python Jupyter Notebook JavaScript
@ornlpmcp
10.21105/joss.01656
published Published 5 months ago

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

R
@johannes-titz
10.21105/joss.01900
published Published 6 months ago

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

Python
@lgeiger
10.21105/joss.01746
published Published 11 months ago

ivis: dimensionality reduction in very large datasets using Siamese Networks

R Python
@beringresearch
10.21105/joss.01596
published Published 11 months ago

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

Python
@silvandeleemput
10.21105/joss.01576
published Published 12 months ago

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

Python
@sanskriti-s
10.21105/joss.01420
published Published 12 months ago

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

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

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

R C++
@andrewthomasjones
10.21105/joss.01193
Displaying papers 1 - 10 of 19 in total

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