JOSS Papers: neural networks

All Papers
1837
 Published Papers
1645
 Active Papers
192
published Published 24 days ago

AdaptiveResonance.jl: A Julia Implementation of Adaptive Resonance Theory (ART) Algorithms

Julia
@AP6YC
10.21105/joss.03671
published Published about 1 month ago

`hessQuik`: Fast Hessian computation of composite functions

Python Jupyter Notebook
@elizabethnewman
10.21105/joss.04171
published Published 3 months ago

NeuralHydrology --- A Python library for Deep Learning research in hydrology

Python
@kratzert
10.21105/joss.04050
published Published 3 months ago

nnde: A Python package for solving differential equations using neural networks

Python
@elwinter
10.21105/joss.03465
published Published 4 months ago

Delve: Neural Network Feature Variance Analysis

Python
@justinshenk
10.21105/joss.03992
published Published 9 months ago

sorn: A Python package for Self Organizing Recurrent Neural Network

Python
@saran-nns
10.21105/joss.03545
published Published about 1 year ago

The nnlib2 library and nnlib2Rcpp R package for implementing neural networks

R C++
@VNNikolaidis
10.21105/joss.02876
published Published about 1 year ago

BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia

Julia
@sylvaticus
10.21105/joss.02849
published Published about 1 year ago

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

Matlab
@somefunagba
10.21105/joss.03002
published Published over 1 year ago

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

M4 Python Fortran
@ryokbys
10.21105/joss.02768
Displaying papers 1 - 10 of 34 in total

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