JOSS Papers: neural network

Published Papers

published Published almost 4 years 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 almost 4 years 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 about 4 years ago

DeepReg: a deep learning toolkit for medical image registration

Python

10.21105/joss.02705

published Published about 4 years ago

rFBP: Replicated Focusing Belief Propagation algorithm

Python C++ PowerShell

10.21105/joss.02663

published Published over 4 years 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 over 4 years ago

stella: Convolutional Neural Networks for Flare Identification in TESS

Python

10.21105/joss.02347

published Published over 4 years ago

dcgp: Differentiable Cartesian Genetic Programming made easy.

10.21105/joss.02290

published Published over 4 years ago

Sensie: Probing the sensitivity of neural networks

Python

10.21105/joss.02180

published Published almost 5 years ago

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

Jupyter Notebook Python

10.21105/joss.01931

published Published almost 5 years ago

ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists

Python Jupyter Notebook JavaScript

10.21105/joss.01656

Displaying papers 31 - 40 of 56 in total

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