From 3198d9c1a514e456522f1b0a85ea8e9a61342d19 Mon Sep 17 00:00:00 2001 From: MartinuzziFrancesco Date: Thu, 7 Nov 2024 21:09:35 +0100 Subject: [PATCH] better landing page for docs --- docs/src/index.md | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/docs/src/index.md b/docs/src/index.md index 729be1f..b2cbaf2 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -2,6 +2,30 @@ CurrentModule = RecurrentLayers ``` +

+ +

+ # RecurrentLayers RecurrentLayers.jl extends [Flux.jl](https://github.com/FluxML/Flux.jl) recurrent layers offering by providing implementations of bleeding edge recurrent layers not commonly available in base deep learning libraries. It is designed for a seamless integration with the larger Flux ecosystem, enabling researchers and practitioners to leverage the latest developments in recurrent neural networks. + +## Implemented layers + + - Minimal gated unit as `MGUCell` [arxiv](https://arxiv.org/abs/1603.09420) + - Light gated recurrent unit as `LiGRUCell` [arxiv](https://arxiv.org/abs/1803.10225) + - Independently recurrent neural networks as `IndRNNCell` [arxiv](https://arxiv.org/abs/1803.04831) + - Recurrent addictive networks as `RANCell` [arxiv](https://arxiv.org/abs/1705.07393) + - Recurrent highway network as `RHNCell [arixv](https://arxiv.org/pdf/1607.03474) + - Light recurrent unit as `LightRUCell` [pub](https://www.mdpi.com/2079-9292/13/16/3204) + - Neural architecture search unit `NASCell` [arxiv](https://arxiv.org/abs/1611.01578) + - Evolving recurrent neural networks as `MUT1Cell`, `MUT2Cell`, `MUT3Cell` [pub](https://proceedings.mlr.press/v37/jozefowicz15.pdf) + - Structurally constrained recurrent neural network as `SCRNCell` [arxiv](https://arxiv.org/pdf/1412.7753) + +## Contributing + +Contributions are always welcome! We look for specifically: + - Recurrent cells you would like to see implemented + - Benchmarks + - Any bugs and mistakes of course! + - Documentation, in any form: examples, how tos, docstrings \ No newline at end of file