JOSS Papers: neural networks

All Papers
1202
 Published Papers
1032
 Active Papers
170
published Published about 4 hours ago

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX

Python JavaScript Jupyter Notebook
@jonasrauber
10.21105/joss.02607
published Published about 2 months ago

stella: Convolutional Neural Networks for Flare Identification in TESS

Python
@afeinstein20
10.21105/joss.02347
published Published 2 months ago

dcgp: Differentiable Cartesian Genetic Programming made easy.

@darioizzo
10.21105/joss.02290
published Published 3 months ago

Sensie: Probing the sensitivity of neural networks

Python
@coljac
10.21105/joss.02180
published Published 7 months ago

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

Jupyter Notebook Python
@feiyu-chen96
10.21105/joss.01931
published Published 8 months ago

ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists

Python Jupyter Notebook JavaScript
@ornlpmcp
10.21105/joss.01656
published Published 8 months ago

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

R
@johannes-titz
10.21105/joss.01900
published Published 9 months ago

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

Python
@lgeiger
10.21105/joss.01746
published Published about 1 year ago

ivis: dimensionality reduction in very large datasets using Siamese Networks

R Python
@beringresearch
10.21105/joss.01596
published Published about 1 year ago

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

Python
@silvandeleemput
10.21105/joss.01576
Displaying papers 1 - 10 of 22 in total

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