JOSS Papers: Neural Networks

Published Papers

published Published about 1 month ago

Fiats: Functional inference and training for surrogates

Fortran C

10.21105/joss.08785

published Published about 1 month ago

ForeFire: A Modular, Scriptable C++ Simulation Engine and Library for Wildland-Fire Spread

C++ C Python

10.21105/joss.08680

published Published 3 months ago

ml4gw: PyTorch utilities for training neural networks in gravitational wave physics applications

Python

10.21105/joss.08836

published Published 5 months ago

idinn: A Python Package for Inventory-Dynamics Control with Neural Networks

Python

10.21105/joss.08508

published Published 7 months ago

HeXtractor: Extracting Heterogeneous Graphs from Structured and Textual Data for Graph Neural Networks

Python Jupyter Notebook

@maddataanalyst

10.21105/joss.08057

published Published 7 months ago

gibbonNetR: an R Package for the Use of Convolutional Neural Networks for Automated Detection of Acoustic Data

R

10.21105/joss.07250

published Published 9 months ago

DIFFICE-jax: Differentiable neural-network solver for data assimilation of ice shelves in JAX

Python MATLAB Jupyter Notebook

10.21105/joss.07254

published Published 9 months ago

jaxKAN: A unified JAX framework for Kolmogorov-Arnold Networks

Python

10.21105/joss.07830

published Published 12 months ago

scene_synthesizer: A Python Library for Procedural Scene Generation in Robot Manipulation

Python

10.21105/joss.07561

published Published over 1 year ago

VisualTorch: Streamlining Visualization for PyTorch Neural Network Architectures

Python

10.21105/joss.06678

Displaying papers 1 - 10 of 65 in total

← PreviousNext →

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066