Directories
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| Path | Synopsis |
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Package horn provides an implementation of Higher Order Recurrent Neural Networks (HORN).
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Package horn provides an implementation of Higher Order Recurrent Neural Networks (HORN). |
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Package lstmsc provides an implementation of LSTM enriched with a PolicyGradient to enable Dynamic Skip Connections.
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Package lstmsc provides an implementation of LSTM enriched with a PolicyGradient to enable Dynamic Skip Connections. |
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Package mist provides an implementation of the MIST (MIxed hiSTory) recurrent network as described in "Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies" by Di Pietro et al., 2018 (https://arxiv.org/pdf/1702.07805.pdf).
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Package mist provides an implementation of the MIST (MIxed hiSTory) recurrent network as described in "Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies" by Di Pietro et al., 2018 (https://arxiv.org/pdf/1702.07805.pdf). |
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Package nru provides an implementation of the NRU (Non-Saturating Recurrent Units) recurrent network as described in "Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies" by Chandar et al., 2019.
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Package nru provides an implementation of the NRU (Non-Saturating Recurrent Units) recurrent network as described in "Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies" by Chandar et al., 2019. |
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Package rla provides an implementation of RLA (Recurrent Linear Attention).
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Package rla provides an implementation of RLA (Recurrent Linear Attention). |
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Package srnn implements the SRNN (Shuffling Recurrent Neural Networks) by Rotman and Wolf, 2020.
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Package srnn implements the SRNN (Shuffling Recurrent Neural Networks) by Rotman and Wolf, 2020. |
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