JOSS Papers: neural networks

Published Papers

published Published about 2 months ago

Graphorge: An open-source forge of graph neural networks

Jupyter Notebook Python

@BernardoFerreira

10.21105/joss.09453

published Published 3 months ago

geospaNN: A Python package for geospatial neural networks

Python

@WentaoZhan1998

10.21105/joss.08389

published Published 3 months ago

H-HIGNN Toolkit: A Software for Efficient and Scalable Simulation of Large-Scale Particulate Suspensions Using GNNs and H-Matrices

C++ Python

10.21105/joss.08777

published Published 3 months ago

torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch

Jupyter Notebook Python

10.21105/joss.09415

published Published 4 months ago

Fiats: Functional inference and training for surrogates

Fortran C

10.21105/joss.08785

published Published 4 months ago

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

C++ C Python

10.21105/joss.08680

published Published 6 months ago

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

Python

10.21105/joss.08836

published Published 8 months ago

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

Python

10.21105/joss.08508

published Published 10 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 10 months ago

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

R

10.21105/joss.07250

Displaying papers 1 - 10 of 69 in total

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