MartinuzziFrancesco/LuxRecurrentLayers.jl

AI Summary: Implement an option to toggle specific biases (recurrent, normal, etc.) in recurrent neural network cells within the LuxRecurrentLayers.jl Julia package. This involves adding boolean flags to control the inclusion of each bias type, mirroring a similar feature in another project.

AI Summary: Implement an Update Gate RNN (UGRNN) layer in Julia, based on the provided equations, for the LuxRecurrentLayers.jl library. This involves creating a new recurrent neural network cell type that adheres to the Lux.jl framework and accurately reflects the UGRNN's mathematical definition.

AI Summary: Implement an original LSTM cell in the LuxRecurrentLayers.jl Julia package, mirroring a similar implementation in the RecurrentLayers.jl package. This involves creating a new recurrent neural network layer that adheres to the Lux.jl framework and its conventions.