JOSS Papers: artificial neural network

Published Papers

published Published about 1 month ago

Fiats: Functional inference and training for surrogates

Fortran C

10.21105/joss.08785

published Published 5 months ago

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

Python

10.21105/joss.08508

published Published over 1 year ago

VisualTorch: Streamlining Visualization for PyTorch Neural Network Architectures

Python

10.21105/joss.06678

published Published over 3 years ago

BCImat: a Matlab-based framework for Intracortical Brain-Computer Interfaces and their simulation with an artificial spiking neural network

MATLAB C++

10.21105/joss.03956

published Published almost 6 years ago

ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists

Python Jupyter Notebook JavaScript

10.21105/joss.01656

published Published almost 6 years ago

passt: An R implementation of the Probability Associator Time (PASS-T) model

R

10.21105/joss.01900

published Published over 6 years ago

ECabc: A feature tuning program focused on Artificial Neural Network hyperparameters

Python

10.21105/joss.01420

published Published almost 7 years ago

BoltzMM: an R package for maximum pseudolikelihood estimation of fully-visible Boltzmann machines

R C++

@andrewthomasjones

10.21105/joss.01193

published Published over 8 years ago

ECNet: Large scale machine learning projects for fuel property prediction

Python

10.21105/joss.00401

Displaying 9 papers

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