Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Closed issues:
Lux.ActivationFunction
(#737)Merged pull requests:
Closed issues:
NeuralODE
is not a subtype of Lux.AbstractExplicitLayer
(#728)Merged pull requests:
Closed issues:
FastDense
hash
and comparison. (#555)sciml_train
output API documentation (#702)Merged pull requests:
Closed issues:
Merged pull requests:
Closed issues:
Merged pull requests:
input_params
to use Flux.destructure
(#697) (@DhairyaLGandhi)