JOSS Papers: neural networks

All Papers
3936
 Published Papers
3306
 Active Papers
630
published Published 3 days ago

Fiats: Functional inference and training for surrogates

Fortran C
@rouson
10.21105/joss.08785
published Published 4 days ago

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

C++ C Python
@filippi
10.21105/joss.08680
published Published about 2 months ago

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

Python
@wbenoit26
10.21105/joss.08836
published Published 4 months ago

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

Python
@iewaij
10.21105/joss.08508
published Published 6 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 6 months ago

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

R
@DenaJGibbon
10.21105/joss.07250
published Published 7 months ago

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

Python MATLAB Jupyter Notebook
@wangyji
10.21105/joss.07254
published Published 8 months ago

jaxKAN: A unified JAX framework for Kolmogorov-Arnold Networks

Python
@srigas
10.21105/joss.07830
published Published 11 months ago

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

Python
@clemense
10.21105/joss.07561
published Published about 1 year ago

VisualTorch: Streamlining Visualization for PyTorch Neural Network Architectures

Python
@willyfh
10.21105/joss.06678
Displaying papers 1 - 10 of 65 in total

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ISSN 2475-9066