JOSS Papers: neural networks

All Papers
1303
 Published Papers
1149
 Active Papers
154
published Published 4 days ago

nap: A molecular dynamics package with parameter-optimization programs for classical and machine-learning potentials

M4 Python Fortran
@ryokbys
10.21105/joss.02768
published Published 3 months ago

DeepReg: a deep learning toolkit for medical image registration

Python
@mathpluscode
10.21105/joss.02705
published Published 3 months ago

rFBP: Replicated Focusing Belief Propagation algorithm

Python C++ PowerShell
@Nico-Curti
10.21105/joss.02663
published Published 4 months 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 6 months ago

stella: Convolutional Neural Networks for Flare Identification in TESS

Python
@afeinstein20
10.21105/joss.02347
published Published 6 months ago

dcgp: Differentiable Cartesian Genetic Programming made easy.

@darioizzo
10.21105/joss.02290
published Published 7 months ago

Sensie: Probing the sensitivity of neural networks

Python
@coljac
10.21105/joss.02180
published Published 11 months ago

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

Jupyter Notebook Python
@feiyu-chen96
10.21105/joss.01931
published Published 12 months ago

ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists

Python Jupyter Notebook JavaScript
@ornlpmcp
10.21105/joss.01656
published Published 12 months ago

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

R
@johannes-titz
10.21105/joss.01900
Displaying papers 1 - 10 of 25 in total

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