JOSS Papers: neural networks

Published Papers

published Published almost 2 years ago

DeepRank2: Mining 3D Protein Structures with Geometric Deep Learning

Python Jupyter Notebook

10.21105/joss.05983

published Published almost 2 years ago

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

Python

10.21105/joss.05881

published Published over 2 years ago

BayesFlow: Amortized Bayesian Workflows With Neural Networks

Python

10.21105/joss.05702

published Published over 2 years ago

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

Python

10.21105/joss.05451

published Published over 2 years ago

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

Python Jupyter Notebook

10.21105/joss.05025

published Published over 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

10.21105/joss.05035

published Published over 2 years ago

Physics-Informed Neural networks for Advanced modeling

Python

10.21105/joss.05352

published Published over 2 years ago

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

Python Jupyter Notebook

10.21105/joss.05017

published Published almost 3 years ago

GraphNeT: Graph neural networks for neutrino telescope event reconstruction

Python

10.21105/joss.04971

published Published almost 3 years ago

FitSNAP: Atomistic machine learning with LAMMPS

Python Cython C Jupyter Notebook

10.21105/joss.05118

Displaying papers 21 - 30 of 68 in total

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