JOSS Papers: neural networks

All Papers
3389
 Published Papers
2978
 Active Papers
411
published Published about 1 year ago

calorine: A Python package for constructing and sampling neuroevolution potential models

Python C++ Jupyter Notebook
@elindgren
10.21105/joss.06264
published Published about 1 year ago

DeepRank2: Mining 3D Protein Structures with Geometric Deep Learning

Python Jupyter Notebook
@gcroci2
10.21105/joss.05983
published Published about 1 year ago

PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator

Python
@pswpswpsw
10.21105/joss.05881
published Published over 1 year ago

BayesFlow: Amortized Bayesian Workflows With Neural Networks

Python
@marvinschmitt
10.21105/joss.05702
published Published over 1 year ago

Spikeometric: Linear Non-Linear Cascade Spiking Neural Networks with Pytorch Geometric

Python
@lepmik
10.21105/joss.05451
published Published over 1 year ago

GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

Python Jupyter Notebook
@kks32
10.21105/joss.05025
published Published almost 2 years ago

AmpTorch: A Python package for scalable fingerprint-based neural network training on multi-element systems with integrated uncertainty quantification

Python C++ C G-code GAP
@ajmedford
10.21105/joss.05035
published Published almost 2 years ago

Physics-Informed Neural networks for Advanced modeling

Python
@ndem0
10.21105/joss.05352
published Published almost 2 years ago

DeBEIR: A Python Package for Dense Bi-Encoder Information Retrieval

Python Jupyter Notebook
@ayuei
10.21105/joss.05017
published Published about 2 years ago

GraphNeT: Graph neural networks for neutrino telescope event reconstruction

Python
@asogaard
10.21105/joss.04971
Displaying papers 11 - 20 of 59 in total

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ISSN 2475-9066