JOSS Papers: neural networks

Published Papers

published Published 12 days ago

NLSIG-COVID19Lab: A modern logistic-growth tool (nlogistic-sigmoid) for descriptively modelling the dynamics of the COVID-19 pandemic process

Matlab

10.21105/joss.03002

published Published 3 months ago

nap: A molecular dynamics package with parameter-optimization programs for classical and machine-learning potentials

M4 Python Fortran

10.21105/joss.02768

published Published 6 months ago

DeepReg: a deep learning toolkit for medical image registration

Python

10.21105/joss.02705

published Published 6 months ago

rFBP: Replicated Focusing Belief Propagation algorithm

Python C++ PowerShell

10.21105/joss.02663

published Published 7 months ago

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX

Python JavaScript Jupyter Notebook

10.21105/joss.02607

published Published 9 months ago

stella: Convolutional Neural Networks for Flare Identification in TESS

Python

10.21105/joss.02347

published Published 9 months ago

dcgp: Differentiable Cartesian Genetic Programming made easy.

10.21105/joss.02290

published Published 10 months ago

Sensie: Probing the sensitivity of neural networks

Python

10.21105/joss.02180

published Published about 1 year ago

NeuroDiffEq: A Python package for solving differential equations with neural networks

Jupyter Notebook Python

10.21105/joss.01931

published Published about 1 year ago

ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists

Python Jupyter Notebook JavaScript

10.21105/joss.01656

Displaying papers 1 - 10 of 26 in total

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